Techie Projects

Disease Prediction System Using Machine Learning with Python and symptom analysis

Disease Prediction System Using Machine Learning

Introduction to the Disease Prediction System Using Machine Learning Artificial Intelligence (AI) and Machine Learning (ML) are transforming how data is analysed across different industries, including healthcare research. A Disease Prediction System Using Machine Learning is an educational software project that demonstrates how machine learning algorithms can analyse patterns in a dataset and predict a

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Disease prediction based on symptoms using machine learning with Python

Disease Prediction Based on Symptoms Using Machine Learning

Introduction 🎓 Disease Prediction Based on Symptoms Using Machine Learning is a Python-based machine learning project that analyzes user-selected symptoms and predicts a possible disease using a trained classification model. This project demonstrates how artificial intelligence and data analysis can be applied to healthcare-related educational applications. The system allows users to select symptoms through a

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Handwritten digit recognition using deep learning with Python and CNN

Handwritten Digit Recognition Using Deep Learning: Python Project for Final-Year CSE

🎓 Introduction Handwritten Digit Recognition Using Deep Learning is a Python-based machine learning project that identifies handwritten numbers from images. It uses image preprocessing and a Convolutional Neural Network (CNN) to classify digits from 0 to 9. This project is a practical way for computer science engineering students to explore deep learning, image classification, and

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Food recommendation system using deep learning with Python showing personalized food suggestions

Food Recommendation System Using Deep Learning

Introduction A food recommendation system using deep learning is an AI-based project that helps users discover food items according to their preferences, food categories, and available recommendation data. Developed using Python and machine learning technologies, this project demonstrates how intelligent recommendation systems can make food discovery easier and more personalized. For B.Tech, B.E., computer science,

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Diet recommendation system using machine learning with Python

Diet Recommendation System Using Machine Learning | Python Project

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

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

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

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

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: Python Cyber Security Project

Introduction DDoS attack detection using machine learning is a cybersecurity project that focuses on identifying suspicious network traffic and detecting potential Distributed Denial-of-Service (DDoS) attacks. This Python-based project is suitable for B.Tech, B.E., Computer Science Engineering, Information Technology, and cybersecurity students looking for a practical final-year project. A Distributed Denial-of-Service attack attempts to overwhelm a

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