Channel Title: Ieee Xpert Channel Description: Ieee Xpert , India. Started sole mission of establishing a dedicated Research & Development (R&D) Cell and bringing the findings to the benefit of budding Engineers with Low Cost. 2023-2023 IEEE PROJECT TITLES For CSE,IT, ECE, EEE For M.E.,M.Tech.,B.E.,B.Tech.,M.Phil.,MCA.,Ph.D <video> Detect Your Blood Type with Just a Fingerprint! Using Machine Learning | IEEE 2024 Project Description: Detect Your Blood Type with Just a Fingerprint! Using Machine Learning | IEEE 2024 Project To get This Project 👉- https://bit.ly/4dx4GGQ 🔥 Our Proposed Project Title: Novel Blood Group Prediction using Fingerprint with Machine Learning. 🔍Implementation: Python. 🧠Algorithm / Model Used: Convolutional Neural Network. 🎯Web Framework: Flask. 💻Frontend: HTML, CSS, JavaScript. ✍ ASBTRACT This project explores the feasibility of using deep learning to detect blood groups from fingerprint images. Traditional blood group detection methods require invasive blood sample collection and laboratory analysis, which can be time-consuming and resource-intensive. In contrast, this approach aims to provide a non-invasive, rapid, and accessible alternative. By leveraging a Convolutional Neural Network (CNN) architecture, we analyze fingerprint patterns to predict blood groups (A, B, AB, O). A dataset of fingerprint images with corresponding blood group labels is collected and preprocessed, including normalization and augmentation techniques. More Projects - https://bit.ly/495LVbb Contact us on - +91 9363932473 Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support Are you curious about your blood type but don't want the hassle of traditional testing methods? In this groundbreaking video, we explore an innovative approach to blood group detection using just a fingerprint and the power of machine learning! Join us as we dive into the fascinating intersection of technology and biology, showcasing how advanced algorithms analyze fingerprint patterns to accurately determine blood types. We'll explain the science behind this revolutionary technique, discuss the potential applications in healthcare, and demonstrate the step-by-step process of how it works. Whether you're a tech enthusiast, a healthcare professional, or just someone interested in discovering more about your own biology, this video has something for everyone. Don’t miss out on learning how machine learning is transforming the way we understand our bodies! 🔍 **What You'll Learn:** - How fingerprints can reveal your blood type - The role of machine learning in medical diagnostics - Real-life applications and future potential of this technology 📌 **Key Topics Covered:** - Blood group determination methods - Machine learning algorithms in healthcare - The significance of biometric data in medical testing Make sure to like, comment, and subscribe for more exciting content on the latest advancements in health tech! #BloodType #MachineLearning #Biometrics #HealthcareInnovation #techinmedicine Important points to consider - The dataset taken with the help of high end finger imaging device. Not a finger print scanner. It's a research based project with kaggle dataset as a input and implemented for the research concept. Moreover it can't consider as real-time product. Can't be applied to normal scanner images or photos. blood group detection using fingerprint project, blood group detection image, blood group detection using image processing, blood group detection using image processing with source code, blood group detection machine learning, blood group test images, 00:00 Introduction 03:09 Reference paper 04:29 PPT Explanation 06:41 Proposed Solution 07:88 Overall Architecture 11:03 Dataset Collection 11:40 Project Demo 17:43 Conclusion </video> <video> Disaster Management with Sentiment and Earthquake/Tsunami Prediction System | Machine Learning Description: Disaster Management with Sentiment and Earthquake/Tsunami Prediction System | Machine Learning To get This Project 👉- https://www.ieeexpert.com/?p=2654 🔥 Our Proposed Project Title: DisasterGuard: AI-Powered Disaster Management System 🔍Implementation: Python. 🧠Algorithm / Model Used: Random Forest + LSTM 🎯Web Framework: Flask. 💻Frontend: HTML, CSS, JavaScript. Accuracy : 97% ABSTRACT This project focuses on developing a disaster management system that leverages sentiment analysis for real-time disaster response and prediction of earthquakes, floods, and tsunamis. By analyzing social media data using natural language processing, the system assesses public sentiment during disasters. Additionally, predictive models are built using Random Forest (RF) and Long Short-Term Memory (LSTM) algorithms to forecast disaster events, enabling timely responses and mitigating potential impacts. The integration of sentiment analysis and predictive modeling offers a comprehensive approach to disaster management. More Projects - https://bit.ly/495LVbb Contact us on - +91 9363932473 Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Online Execution Support * Addons * Video Tutorials * Supporting Softwares In this insightful video, we delve into the innovative world of disaster management, focusing on a cutting-edge system that integrates sentiment analysis with earthquake and flood prediction technologies. Discover how this comprehensive approach not only enhances preparedness but also improves community response during critical times. We will explore the mechanisms behind sentiment prediction and its role in assessing public emotions and reactions before, during, and after disasters. Learn how combining this data with advanced predictive models for earthquakes and floods can significantly mitigate risks and save lives. Join us as we discuss real-world applications, challenges, and the future of disaster management systems. Whether you're a student, a professional in emergency management, or simply interested in technology's role in safeguarding communities, this video is packed with valuable insights and information. Don't forget to like, share, and subscribe for more content on technology and disaster management solutions! 00:00 Introduction 03:09 Reference paper 04:29 PPT Explanation 06:41 Proposed Solution 07:18 Overall Architecture 11:03 Dataset Collection 11:40 Project Demo 17:43 Conclusion disaster management system, disaster management system project, disaster management system using iot, disaster management system source code, machine learning in disaster management, natural disaster prediction using machine learning, flood prediction using machine learning, earthquake prediction suing machine learning, machine learning projects for final year, machine learning projects with source code, machine learning projects for students, machine learning projects 2024 2025, ai projects, smart india hackathan, smart india hackathon projects list, problem statement, nlp projects, sentiment prediction, weather prediction, lstm </video> <video> Prediction the Electronic Gadget Addiction of Students using Machine Learning | AI Project Description: Prediction the Electronic Gadget Addiction of Students using Machine Learning | AI Project To get This Project 👉- https://www.ieeexpert.com/?p=2661 🔥 Our Proposed Project Title: Prediction the Electronic Gadget Addiction of Students using Machine Learning 🔍Implementation: Python. 🧠Algorithm / Model Used: Random Forest 🎯Web Framework: Flask. 💻Frontend: HTML, CSS, JavaScript. ABSTRACT The widespread use of electronic gadgets among students has raised concerns about the potential negative impacts on their academic performance, mental health, and overall well-being. This project aims to develop a predictive model using machine learning to analyze and forecast the effects of gadget addiction on students' lives. By leveraging data such as screen time, academic records, sleep patterns, and social interactions, we explore the correlations and patterns that link excessive gadget use to adverse outcomes. The project employs machine learning techniques, including random Forest, to build models capable of predicting the likelihood and severity of addiction-related consequences. Our findings indicate that certain behavioral and academic indicators can reliably predict the impact of gadget addiction, offering an accuracy rate of over 97% with the most sophisticated models. More Projects - https://bit.ly/495LVbb Contact us on - +91 9363932473 Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support In this intriguing video, we explore the fascinating intersection of technology and education by predicting student gadget addiction using machine learning techniques. As students increasingly rely on gadgets for learning and leisure, understanding their usage patterns becomes crucial. Join us as we delve into the methodologies used to analyze data, identify addiction trends, and predict future behaviors among students. We'll cover the types of data collected, the machine learning algorithms implemented, and the insights gained from our analysis. Whether you're an educator, a parent, or a tech enthusiast, this video will provide valuable insights into the impact of gadget usage on student life. Don’t forget to like, comment, and subscribe for more content on technology and education! #MachineLearning #GadgetAddiction #StudentLife #DataAnalysis #EducationTech #PredictiveAnalytics #techineducation Gadget Addiction Prediction, Student Gadget Usage, Machine Learning Addiction Prediction, Predicting Student Behavior, ML Student Addiction Model, Machine Learning Student Health, AI in Education, machine learning projects,machine learning projects in python, machine learning projects for beginners,machine learning projects with code,machine learning projects for final year,machine learning projects 2024,ieee expert 00:00 Introduction 03:09 Reference paper 04:29 PPT Explanation 06:41 Proposed Solution 07:18 Overall Architecture 11:03 Dataset Collection 11:40 Project Demo 17:43 Conclusion </video> <video> Agri-Price Intelligence: Modeling of Agri Commodity Prices Using AI-ML Techniques: Machine Learning Description: Agri-Price Intelligence: Modeling of Agri Commodity Prices Using AI-ML Techniques : Machine Learning To get This Project 👉- https://www.ieeexpert.com/?p=2654 🔥 Our Proposed Project Title: FutureCrop: AI-Powered Price Prediction for Agri and Vegetable Markets 🔍Implementation: Python. 🧠Algorithm / Model Used: Convolutional Neural Network 🎯Web Framework: Flask. 💻Frontend: HTML, CSS, JavaScript. Accuracy : 98% ABSTRACT In recent years, the agricultural sector has experienced significant challenges due to unpredictable price fluctuations of pulses and vegetables. This project focuses on developing AI-ML models using Convolutional Neural Networks (CNN) to accurately predict the prices of various agricultural commodities, such as pulses and vegetables. Leveraging historical market data, weather patterns, and supply-demand dynamics, the CNN-based model provides robust forecasting capabilities that can help farmers, traders, and policymakers make informed decisions. By employing advanced deep learning techniques, this system aims to enhance agricultural productivity and market stability, offering a reliable solution for predicting commodity prices. The model’s effectiveness is validated through extensive testing, demonstrating high accuracy and performance in real-world scenarios. This project is a step forward in integrating AI-driven insights into the agricultural domain, paving the way for smarter, data-driven decision-making and sustainable economic growth. More Projects - https://bit.ly/495LVbb Contact us on - +91 9363932473 Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Online Execution Support * Addons * Video Tutorials * Supporting Softwares In this exciting video, we dive deep into the world of agriculture commodity price prediction using cutting-edge machine learning techniques! As we move into 2024, understanding how to forecast prices for essential commodities like corn, wheat, and soybeans is more crucial than ever for farmers, traders, and investors alike. Join us as we explore the latest algorithms and models that are transforming the agricultural sector. We will demonstrate how machine learning can analyze historical data, identify trends, and make accurate predictions, helping stakeholders make informed decisions. Throughout the video, we will cover: - The importance of agriculture commodity price forecasting in today's market - An overview of machine learning techniques used in price predictions - A step-by-step guide on building a predictive model - Real-world applications and case studies showcasing successful predictions Whether you're a data enthusiast, a farmer, or a financial analyst, this video will equip you with valuable insights into the future of agriculture pricing. Don't forget to subscribe for more content on machine learning applications and agricultural innovations! #MachineLearning #CommodityPrices #Agriculture #PricePrediction #DataScience #2024trends AI ML Price Prediction, Agricultural Price Prediction, Predicting Pulse Prices, Predicting Vegetable Prices, AI in Agriculture, Machine Learning for Price Prediction, Pulses Price Forecasting, Vegetable Price Forecasting, AI Models for Agriculture, Crop Price Prediction AI, ML Models for Farming, Agriculture AI ML Models, AI in Horticulture, AI for Farmers, Machine Learning in Agriculture, AI Agriculture Projects, Predictive Analytics for Agriculture, AI Price Prediction Tutorial, Agricultural Commodity Prediction, Food Price Prediction AI 00:00 Introduction 03:09 Reference paper 04:29 PPT Explanation 06:41 Proposed Solution 07:18 Overall Architecture 11:03 Dataset Collection 11:40 Project Demo 17:43 Conclusion </video> <video> Alzheimer's Disease Detection using Machine Learning | 2024 Machine Learning Project Description: Alzheimer's Disease Detection using Machine Learning | 2024 Machine Learning Project To get This Project 👉- https://www.ieeexpert.com/?p=2692 🔥 Our Proposed Project Title: Early detection of Alzheimer's Disease using Mobilenet Algorithm: A Deep Learning Approach 🔍Implementation: Flask. 🧠Algorithm / Model Used: MobileNet Algorithm 🎯Web Framework: Flask. 💻Frontend: HTML, CSS, JavaScript. ABSTRACT Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that significantly impacts cognitive function, memory, and daily living. Early detection of AD is critical for timely intervention and improving the quality of life for patients. This project proposes an innovative approach to Alzheimer’s disease prediction using the MobileNet algorithm, a lightweight and efficient deep learning architecture. The MobileNet model is trained on medical imaging datasets, such as MRI or CT scans, to classify and predict Alzheimer’s disease at its early stages. The proposed system leverages the computational efficiency of MobileNet to ensure scalability and accessibility, making it suitable for deployment on resource-constrained devices like smartphones or embedded systems. The model undergoes rigorous preprocessing and training to achieve high accuracy, robustness, and generalizability. Performance evaluation is conducted using metrics such as accuracy, precision, recall, and F1-score, demonstrating the effectiveness of the proposed solution. More Projects - https://bit.ly/495LVbb Contact us on - +91 9363932473 Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions Including Packages ======================= Base Paper Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File Screenshots Execution Procedure Online Execution Support Addons Video Tutorials Supporting Softwares alzheimer's disease detection,alzheimer's disease detection using machine learning kaggle, alzheimer's disease dataset csv, Alzheimer's disease image dataset, Alzheimer's disease detection using machine learning project, project report, using deep learning, ieee machine learning projects, Machine Learning projects 2024, projects for final year, IEEE papers on machine learning, ai ml projects for final year, neurodegenerative disorder prediction using machine learning 00:00 Introduction 02:43 Reference paper 05:25 PPT Explanation 09:18 Proposed Solution 10:19 Overall Architecture 14:12 Project Demo 22:06 Conclusion </video> <video> AgriBot - An Intelligent Chatbot For Farmers With Crop And Disease Prediction | Machine Learning Description: AgriBot - An Intelligent Chatbot For Farmers With Crop And Disease Prediction - Machine Learning 2024 2025 Project To get This Project 👉- https://www.ieeexpert.com/?p=2680 🔥 Our Proposed Project Title: AgriBot - An Intelligent Chatbot For Farmers With Crop And Disease Prediction 🔍Implementation: Python. 🧠Algorithm / Model Used: XGBOOST + ResNet 🎯Web Framework: Django. 💻Frontend: HTML, CSS, JavaScript. Accuracy : 99% ABSTRACT The increasing challenges in modern agriculture, including crop selection, disease management, and soil health monitoring, call for innovative solutions to support farmers. This project aims to develop an AI-powered chatbot designed to assist farmers by providing real-time answers to agricultural queries, recommending crops based on soil parameters, and predicting crop diseases using image analysis. The chatbot will integrate machine learning algorithms and natural language processing to enable seamless communication between farmers and the system. Additionally, by leveraging soil data, the chatbot will offer personalized crop recommendations tailored to the specific conditions of the farmer’s land. The image-based disease prediction module will allow farmers to upload pictures of affected plants, and the system will analyze the images to provide accurate diagnoses and treatment suggestions. This tool aims to empower farmers with actionable insights, improving their decision-making process and contributing to sustainable agriculture. More Projects - https://bit.ly/495LVbb Contact us on - +91 9363932473 Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions Including Packages ======================= Base Paper Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File Screenshots Execution Procedure Online Execution Support Addons Video Tutorials Supporting Softwares Welcome to our latest video where we unveil an innovative AI bot designed to revolutionize agriculture! 🌱 In this video, you will discover how our advanced AI chatbot can detect plant diseases with remarkable accuracy and provide tailored crop recommendations to enhance your farming practices. Join us as we explore: - The technology behind AI-based plant disease detection - How the chatbot analyzes symptoms and offers solutions - Real-life applications and benefits for farmers and gardeners - Tips for utilizing AI to boost crop yield and health Whether you’re a seasoned farmer or a gardening enthusiast, this AI bot is a game-changer for sustainable agriculture. Don’t miss out on learning how technology can empower you to take better care of your plants! Make sure to like, share, and subscribe for more exciting content on AI in agriculture and innovative farming solutions! 🌾🤖 #AIAgriculture #PlantDiseaseDetection #CropRecommendation #SustainableFarming #AgTech #smartfarming 00:00 Introduction 04:54 Reference paper 06:35 PPT Explanation 011:43 Proposed Solution 12:34 Overall Architecture 15:35 Project Demo 34:43 Conclusion </video> <video> Smart Career Advisor: A Machine Learning based Recommendation System | AI Project Description: AI-Powered Career Guidance: Building a Machine Learning Career Recommendation System To get This Project 👉- https://www.ieeexpert.com/?p=2658 🔥 Our Proposed Project Title: Smart Career Advisor: A Machine Learning based Recommendation System 🔍Implementation: Python. 🧠Algorithm / Model Used: Convolutional Neural Network with Random Forest 🎯Web Framework: Flask. 💻Frontend: HTML, CSS, JavaScript. ABSTRACT This project presents the development of a career recommendation system using a hybrid algorithm that combines collaborative filtering and content-based methods. The system analyzes user profiles, preferences, and historical data to provide personalized career suggestions. By integrating these approaches, the model enhances accuracy in matching users with suitable career paths, offering a comprehensive and tailored guidance solution. The hybrid algorithm leverages the strengths of both techniques, ensuring robust recommendations that adapt to diverse user needs and career landscapes. More Projects - https://bit.ly/495LVbb Contact us on - +91 9363932473 Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support In this video, we dive deep into the world of career recommendation systems powered by machine learning. Are you looking for the perfect career path but don’t know where to start? Our advanced system harnesses the latest algorithms and data analysis techniques to provide personalized career suggestions tailored to your skills, interests, and market trends. We explore the components that make a robust career recommendation system, including data collection, feature engineering, and the machine learning models that drive accurate predictions. You'll learn about the importance of user input, how to preprocess data, and the evaluation metrics that ensure our recommendations are reliable and relevant. Whether you're a job seeker, a student planning your future, or a career advisor, this video will equip you with the knowledge to understand and utilize machine learning in career development. Don't miss out on the chance to discover your ideal career path with the power of AI! Join us as we break down the process step-by-step, showcasing real-life examples and coding demonstrations. By the end of this video, you'll have a solid understanding of how machine learning can transform the way we approach career planning. 👉 Subscribe for more insightful content on machine learning and career development! #CareerRecommendation #MachineLearning #CareerAdvice #AI #datasciencewithr career recommendation system using chatbot in php full project,career recommendation system using machine learning, artificial intelligence,recommendation system,deep learning, recommendation system using machine learning, job recommendation system using machine learning, Career recommendation system using machine learning github, python, project, Job recommendation system using machine Learning, machine learning projects,machine learning projects in python, machine learning projects for beginners,machine learning projects with code,machine learning projects for final year,machine learning projects 2024,ieee expert, nlp, ai projects 00:00 Introduction 03:09 Reference paper 04:29 PPT Explanation 06:41 Proposed Solution 07:18 Overall Architecture 11:03 Dataset Collection 11:40 Project Demo 17:43 Conclusion </video> <video> Question Paper Leakage Prevention Using Blockchain | Blockchain Projects 2025 | Complete Tutorial Description: Question Paper Leakage Prevention Using Blockchain To get This Project 👉- https://www.ieeexpert.com/?p=2697 🔥 Our Proposed Project Title: ExamChain - Blockchain-Powered Question Paper Leakage Prevention System 🔍Implementation: React. 🧠Algorithm / Model Used: Blockchain 🎯Web Framework: Django. 💻Frontend: HTML, CSS, JavaScript. ABSTRACT This project proposes a secure, decentralized system for preventing question paper leaks using blockchain technology. The solution ensures the integrity, confidentiality, and traceability of exam question papers by storing and distributing them via a tamper-proof blockchain network. By leveraging cryptographic techniques and smart contracts, this system provides an immutable audit trail, ensuring only authorized personnel have access to the papers at predefined times. The platform minimizes the risk of human errors, unauthorized access, and leaks, enhancing trust and security in examination processes. More Projects - https://bit.ly/495LVbb Contact us on - +91 9363932473 Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions Including Packages ======================= Base Paper Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File Screenshots Execution Procedure Online Execution Support Addons Video Tutorials Supporting Softwares In today's digital age, fraudulent question papers have become a major concern for educational institutions and certification bodies. The consequences of leaked question papers can be devastating, leading to a loss of credibility, financial losses, and even legal issues. However, what if we told you that there's a way to prevent fraudulent question papers using blockchain technology? In this video, we'll explore the concept of a blockchain-based question paper prevention system that ensures the integrity and security of question papers. From creation to distribution, we'll delve into how blockchain can help prevent tampering, unauthorized access, and other forms of fraud. Join us as we discuss the potential of blockchain in revolutionizing the education sector and ensuring the authenticity of question papers. Blockchain for Exam Security,Preventing Question Paper Leaks with Blockchain,Question Paper Security System Using Blockchain,Blockchain Solution for Exam Paper Leaks,Top Blockchain Projects to Try,Beginner Blockchain Project Ideas,Blockchain Development Projects for 2024,How to Build a Blockchain Project,Best Blockchain Projects for Developers,Blockchain Project Ideas for Students,Blockchain Applications in Real World,Easy Blockchain Projects for Beginners,Advanced Blockchain Projects with Code,Blockchain Project Tutorial for Beginners,Exploring Blockchain Development Projects,Blockchain Use Cases and Project Ideas,Step-by-Step Blockchain Project Guide,Real-World Blockchain Projects for Beginners, Blockchain in Finance Project Ideas, Educational Blockchain Projects for Students, Top Blockchain Innovations in 2024, Blockchain Project Examples Explained, Unique Blockchain Project Concepts, Creating Your First Blockchain Project 00:00 Introduction 03:40 Reference paper 05:45 PPT Explanation 010:28 Proposed Solution 11:57 Overall Architecture 15:17 Project Demo 41:56 Conclusion </video> <video> Audio DeepFake Detection using Machine Learning | AI based Projects 2024 2025 Description: Audio DeepFake Detection using Machine Learning To get This Project - https://bit.ly/3WqhtVW ABSTRACT The rapid advancement in artificial intelligence has led to the emergence of deepfake audio, a technique where synthetic voices are generated to closely mimic real human speech. This poses significant threats, including misinformation, fraud, and the erosion of trust in digital communications. The rapid advancement in artificial intelligence has led to the emergence of deepfake audio, a technique where synthetic voices are generated to closely mimic real human speech. This poses significant threats, including misinformation, fraud, and the erosion of trust in digital communications. More Projects - https://bit.ly/495LVbb Contact us on - +91 9363932473 Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support #DeepfakeAudio #deepfake #MLBasedprojects #machinelearning #python #artificialintelligence #engineeringprojects #deeplearning </video> <video> AI BASED LEARNING ASSISTANT PLATFORM | Machine Learning Projects 2024 Description: AI BASED LEARNING ASSISTANT PLATFORM USING MACHINE LEARNING To get This Project - https://bit.ly/4f9Wpub ABSTRACT An AI-based Question Answer Generation and Evaluation System employs state-of-the-art natural language processing and machine learning techniques to automate the creation and assessment of questions and answers. This system is capable of generating diverse, contextually relevant questions from a wide range of textual content, facilitating comprehensive testing and personalized learning experiences. The evaluation component uses sophisticated algorithms to accurately assess the correctness and quality of answers, providing detailed feedback and scoring. This technology enhances educational and training environments by ensuring consistent, efficient, and scalable assessment methods, ultimately improving the overall learning experience and outcomes. More Projects - https://bit.ly/495LVbb Contact us on - +91 9363932473 Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support AI question answer generation,Machine learning Q&A,AI Q&A systems,Automated question answering,Machine learning question answering,AI-based Q&A,Question generation AI,Natural language processing Q&A,NLP question answering,Deep learning Q&A systems,AI chatbot Q&A,AI question answering tutorial,Machine learning for question answering,AI question generation techniques,AI Q&A algorithms,Building Q&A systems with AI,AI question answering demo,Machine learning Q&A examples, AI for automated Q&A, AI question answer bots </video> <video> Machine Learning Predicts Floods and Landslides [2024] | AI Project Description: Flood and Landslide prediction using Machine Learning | 2024 Projects To get This Project 👉- https://bit.ly/3M12xaA 🔥 Our Proposed Project Title: Flood and Landslide prediction using Machine Learning. 🔍Implementation: Python. 🧠Algorithm / Model Used: Convolutional Neural Network. 🎯Web Framework: Flask. 💻Frontend: HTML, CSS, JavaScript. ✍ ASBTRACT Natural disasters such as landslides and food shortages pose significant challenges, particularly in regions with complex topography and vulnerable populations. This study presents a machine learning-based approach to predict landslides and food insecurity in susceptible areas. By integrating various datasets, including historical weather patterns, soil composition, land use, topographical data, and socio-economic indicators, the model aims to provide early warnings and actionable insights. The landslide prediction model employs techniques such as Random Forest, Gradient Boosting, and Neural Networks to analyze the likelihood of landslide occurrences, while the food prediction model leverages time-series analysis and regression techniques to forecast food production and potential shortages. The models are validated using real-world data from high-risk regions, and the results demonstrate a significant improvement in prediction accuracy compared to traditional methods. This approach has the potential to assist policymakers and disaster management agencies in proactive planning, thereby reducing the impact of these events on affected communities. More Projects - https://bit.ly/495LVbb Contact us on - +91 9363932473 Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support In this video, we delve into the groundbreaking advancements in machine learning that are revolutionizing the prediction of natural disasters such as floods and landslides. Join us as we explore how data-driven algorithms and predictive modeling techniques are being utilized to assess risk factors, analyze environmental data, and provide early warnings to communities at risk. Discover the methodologies behind flood and landslide predictions, the significance of real-time data collection, and the role of machine learning in disaster preparedness and response. We’ll discuss case studies where these technologies have made a difference and highlight the future of predictive analytics in environmental safety. Whether you’re a data science enthusiast, environmentalist, or simply curious about how technology can mitigate the effects of climate change, this video is packed with insights and valuable information. Don’t forget to like, comment, and subscribe for more content on the intersection of technology and the environment! #MachineLearning #FloodPrediction #LandslidePrediction #DataScience #EnvironmentalSafety #ClimateChange #predictiveanalytics flood prediction using machine learning, flood prediction using machine learning python, flood prediction using machine learning models, flood prediction using machine learning project,flood prediction, flood prediction using gis, flood prediction model, flood prediction 2024, flood prediction project, flood prediction using deep learning, flood prediction using machine learning project, flood prediction using power bi, flood prediction data analysis,landslide prediction, landslide prediction using machine learning, landslide prediction using deep learning machine learning projects,machine learning projects in python, machine learning projects for beginners,machine learning projects with code,machine learning projects for final year,machine learning projects 2024,ieee expert Points to Remember - Input location can be any city location, we have api to predict it's gps location and weather information for given location based on that it will predict flood information. Day to day basic results for sale city will change based on weather parameters. The flood graphs mentioned on the Web application was a static one used to represent the flood prone areas in India based on historical data. 00:00 Introduction 03:09 Reference paper 04:29 PPT Explanation 06:41 Proposed Solution 07:18 Overall Architecture 11:03 Dataset Collection 11:40 Project Demo 17:43 Conclusion </video> <video> Supply chain Management using Blockchain | Blockchain Projects | Solidity Description: Supply chain Management using Blockchain To get This Project - https://bit.ly/3LMRDFi ABSTRACT The integration of blockchain technology into supply chain management (SCM) presents transformative opportunities to enhance transparency, security, and efficiency across the entire supply chain. Traditional SCM systems often struggle with issues such as data silos, fraud, and lack of real-time visibility. By leveraging the decentralized, immutable, and transparent nature of blockchain, supply chains can achieve real-time traceability of products, reduce the risk of fraud, and eliminate the need for intermediaries. This presentation explores the current limitations of traditional SCM systems and proposes a blockchain-based solution to address these challenges, highlighting the potential benefits and real-world applications in industries such as food safety, logistics, and ethical sourcing. More Projects - https://bit.ly/495LVbb Contact us on - +91 9363932473 Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support supply chain blockchain project, supply chain management blockchains and smart contracts, blockchain based supply chain management, blockchain in supply chain management, blockchain use case supply chain management, blockchain-based supply chain management project, blockchain projects 2024, blockchain based projects for final year, blockchain project using react, blockchain project 2024 2025, blockchain project based on solidity, blockchain projects playlist, blockchain projects with source code, blockchain projects for beginners, blockchain projects for final year, blockchain projects ideas, blockchain projects with react, machine learning projects for final year #blockchain #supplychain #solidity #react #metamask #blockchainprojects 00:00 Introduction 01:53 Reference paper 03:17 PPT Explanation 04:54 What is Blockchain 06:58 Proposed Solution 08:23 Overall Architecture 10:43 Project Demo 20:03 Conclusion </video> <video> Poverty Prediction using Satellite Images | Deep Learning Project Description: Poverty Prediction using Satellite Images | Deep Learning Project To get This Project - https://bit.ly/3Evj9ES ABSTRACT With the advancement of remote sensing technology, satellite imagery has emerged as a valuable tool for understanding socio-economic dynamics, including poverty. This study proposes a novel approach to predict poverty levels at a fine-grained spatial resolution using satellite images and machine learning techniques. The primary objective is to leverage the rich information embedded in satellite data to estimate poverty with high accuracy and granularity, particularly in regions where ground-level data is scarce or outdated. The methodology involves preprocessing satellite images to extract relevant features such as land cover, vegetation indices, and infrastructure indicators. These features are then used to train machine learning models, including convolutional neural networks (CNNs) and ensemble methods, on historical poverty data obtained from census records or surveys. Transfer learning techniques may also be employed to adapt pre-trained models to the task of poverty prediction. To evaluate the model's performance, rigorous validation techniques such as cross-validation and spatial validation are employed. Additionally, sensitivity analysis is conducted to assess the robustness of the model to variations in input data and model parameters. The predictive accuracy of the proposed approach is compared against traditional poverty estimation methods, demonstrating its superiority in terms of accuracy, spatial granularity, and scalability. The findings of this research have significant implications for policymakers, humanitarian organizations, and researchers working towards poverty alleviation and sustainable development. Accurate and timely poverty estimates derived from satellite imagery can inform targeted interventions, resource allocation, and policy formulation, ultimately contributing to more effective poverty reduction strategies and inclusive development. More Projects - https://bit.ly/495LVbb Contact us on - +91 9363932473 Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support </video> <video> Cyber Fraud App Detection Using Machine Learning | Cybersecurity Project 2024 Description: Cyber Fraud App Detection Using Machine Learning | Cybersecurity Project 2024 To get This Project - https://bit.ly/3WjZnDG ABSTRACT Cyber fraud detection and prevention using machine learning (ML) is an advanced approach to safeguarding digital transactions and data integrity. Machine learning algorithms, including supervised and unsupervised learning techniques, are leveraged to analyze vast amounts of data, identify patterns, and detect anomalies indicative of fraudulent activities. By continuously learning from new data, ML models can adapt to evolving cyber threats and provide real-time fraud detection, reducing false positives and enhancing accuracy. This approach not only improves the efficiency and effectiveness of fraud detection systems but also helps in predicting potential frauds, thereby enabling proactive measures to prevent cyber attacks. More Projects - https://bit.ly/495LVbb Contact us on - +91 9363932473 Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support machine learning projects, machine learning projects 2024, artificial intelligence mini projects source code, machine learning projects for beginners,ai based projects for students, ai ml projects for beginners, fraud app detection using machine learning, cybersecurity machine learning projects, malware analysis sandbox project, malware analysis using machine learning, fraud detection using machine learning python, cyber crime detection using machine learning, cyber threat detection using machine learning, python projects 2024 * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support </video> <video> Food Recognition and Calorie Estimation | Machine Learning projects 2024 2025 Description: Food Recognition and Calorie Estimation | Machine Learning projects 2024 2025 To get This Project 👉- https://www.ieeexpert.com/?p=2680 🔥 Our Proposed Project Title: Nutri-Track - SMART FOOD RECOGNITION & PERSONALIZED DIET PLANNER 🔍Implementation: Flask. 🧠Algorithm / Model Used: YoloV8, Decision Tree 🎯Web Framework: Flask. 💻Frontend: HTML, CSS, JavaScript. ABSTRACT The increasing need for health awareness and lifestyle management has increased demand for advanced dietary tracking solutions. This project, titled "Food Recognition with Calorie Measurement and Personalized Diet Recommendation with Tracking System," presents an innovative AI-driven system designed to assist users in achieving personalized health and fitness goals. The system integrates food recognition through image processing and machine learning algorithms to automatically identify food items and provide precise calorie counts. Using deep learning techniques, the platform can assess dietary intake and recommend customized meal plans tailored to individual dietary preferences, health conditions, and fitness objectives. By incorporating a tracking system, the project enables users to monitor their daily intake, track nutritional progress, and adjust goals based on real-time data insights. More Projects - https://bit.ly/495LVbb Contact us on - +91 9363932473 Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions Including Packages ======================= Base Paper Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File Screenshots Execution Procedure Online Execution Support Addons Video Tutorials Supporting Softwares In today's digital age, fraudulent question papers have become a major concern for educational institutions and certification bodies. The consequences of leaked question papers can be devastating, leading to a loss of credibility, financial losses, and even legal issues. However, what if we told you that there's a way to prevent fraudulent question papers using blockchain technology? In this video, we'll explore the concept of a blockchain-based question paper prevention system that ensures the integrity and security of question papers. From creation to distribution, we'll delve into how blockchain can help prevent tampering, unauthorized access, and other forms of fraud. Join us as we discuss the potential of blockchain in revolutionizing the education sector and ensuring the authenticity of question papers. food recognition and calorie estimation github,Food recognition and calorie estimation Source Code, calorie estimation project, using machine learning, Calorie estimation from food images,Food recognition dataset, Food calorie estimation using Convolutional Neural Network, Machine Learning projects 2025, deep learning projects 2025, ai projects 2025 00:00 Introduction 03:40 Reference paper 05:45 PPT Explanation 010:28 Proposed Solution 11:57 Overall Architecture 15:17 Project Demo 41:56 Conclusion </video>

Contacts and Links

Description

Ieee Xpert , India. Started sole mission of establishing a dedicated Research & Development (R&D) Cell and bringing the findings to the benefit of budding Engineers with Low Cost.
2023-2023 IEEE PROJECT TITLES For CSE,IT, ECE, EEE For M.E.,M.Tech.,B.E.,B.Tech.,M.Phil.,MCA.,Ph.D

Videos from channel