Machine Learning Projects

Explore machine learning projects for students using Python, Scikit-learn, TensorFlow, and other popular machine learning libraries. Discover practical projects covering classification, regression, prediction, recommendation systems, anomaly detection, and real-world AI applications. Find innovative machine learning project ideas for B.Tech students, computer science students, and final-year engineering projects, with opportunities to develop practical skills through hands-on implementations.

Diet recommendation system using machine learning with Python

Diet Recommendation System Using Machine Learning | Python Project

Machine Learning Projects /

Introduction The Diet Recommendation System Using Machine Learning is a Python-based project that explores how machine learning and recommendation techniques can help suggest food options based on user preferences and dietary information. The project demonstrates how data processing, recommendation logic, and a user-friendly interface can be combined to create a personalized food recommendation application. For

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Diet recommendation system using machine learning with personalized food suggestions and Python

Diet Recommendation System Using Machine Learning: Python Final Year Project

Machine Learning Projects /

Introduction The diet recommendation system using machine learning is a Python-based project that demonstrates how machine learning can help generate personalized food recommendations based on user-provided information, dietary preferences, and lifestyle factors. This project is suitable for B.Tech, B.E., computer science, information technology, and final-year engineering students interested in artificial intelligence and healthcare-related applications. The

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Diet recommendation system using AI and machine learning with Python

Diet Recommendation System Using AI – Machine Learning Project Using Python

Machine Learning Projects /

Introduction The Diet Recommendation System Using AI is a Python-based machine learning project designed to generate personalized diet suggestions based on user-provided information, such as age, height, weight, activity level, and fitness goals. This project demonstrates how artificial intelligence can support nutrition planning through data analysis and recommendation techniques. For final-year B.Tech, B.E., computer science,

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Diabetic retinopathy detection using machine learning with Python

Diabetic Retinopathy Detection Using Machine Learning | Python Project

Machine Learning Projects /

Introduction Diabetic retinopathy detection using machine learning is an important computer vision project that demonstrates how artificial intelligence can analyze retinal images to identify signs associated with diabetic eye disease. Diabetic retinopathy is a complication of diabetes that can damage the blood vessels in the retina and may lead to vision loss if not diagnosed

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DDoS attack detection using machine learning with Python network traffic analysis

DDOS Attack Detection using Machine Learning-3 | Computer Science Major Project Ideas

Machine Learning Projects /

Introduction DDoS attack detection using machine learning is an important cybersecurity project for students who want to understand how intelligent systems can identify suspicious network traffic. Distributed Denial-of-Service (DDoS) attacks attempt to overwhelm a server, website, or network with excessive traffic, potentially making online services unavailable to legitimate users. This DDoS attack detection using machine

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DDoS attack detection using machine learning with Python

DDOS Attack Detection using Machine Learning | Intrusion Detection System using Machine Learning

Machine Learning Projects /

Introduction DDoS attack detection using machine learning is a cybersecurity project that analyzes network traffic to identify suspicious activities and potential Distributed Denial of Service (DDoS) attacks. As cyber threats continue to affect websites, servers, and online applications, intelligent intrusion detection systems have become an important area of computer science research. The DDoS Attack Detection

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Sign language to text conversion using machine learning and Python speech processing

Sign Language to Text Conversion using Machine Learning | Audio to Text Converter using Python

Machine Learning Projects /

Introduction Sign language to text conversion using machine learning is an innovative Python-based project that explores how artificial intelligence can help improve communication between people who use sign language and those who may not understand it. This project uses computer vision, hand gesture recognition, and machine learning techniques to identify selected hand signs and convert

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Detection of phishing websites using machine learning with Python

Detection of Phishing Websites Using Machine Learning | Python Final Year IEEE Project 2026

Machine Learning Projects /

Introduction Detection of Phishing Websites Using Machine Learning is a cybersecurity project that helps identify suspicious websites by analyzing their URLs and related features. Phishing websites are designed to trick users into sharing sensitive information, such as login credentials, banking details, and personal data. This project demonstrates how machine learning can support the classification of

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Cyberbullying detection using machine learning to classify harmful online text

Cyberbullying Detection Using Machine Learning | Python Project

Machine Learning Projects /

Introduction Cyberbullying detection using machine learning is a Python-based project that analyzes text messages and online comments to identify potentially abusive, offensive, or harmful language. By combining natural language processing (NLP), text preprocessing, and machine learning classification, this project demonstrates how AI can support the analysis of harmful online communication. This Cyberbullying Detection Using Machine

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Cyberbullying detection using machine learning with Python and text classification

Cyberbullying Detection Using Machine Learning | Python Project for Final Year

Machine Learning Projects /

Introduction Cyberbullying detection using machine learning is an artificial intelligence project that helps identify potentially harmful, abusive, and offensive messages shared through online platforms. As social media, online communities, and digital communication continue to grow, detecting cyberbullying has become an important application of machine learning and natural language processing (NLP). The Cyberbullying Detection Using Machine

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