MACHINE LEARNING

Disease Prediction based on Symptoms using Machine Learning

ARTIFICIAL INTELLIGENCE, DEEP LEARNING, MACHINE LEARNING /

Disease Prediction using Machine Learning The disease diagnosis system operates by first collecting comprehensive datasets with symptoms and corresponding diseases. Subsequent data preprocessing addresses anomalies like missing values. Relevant features are then selected or extracted, aiding accurate diagnosis. The chosen machine learning algorithm, such as decision trees, undergoes training with preprocessed data. The model learns

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Handwritten Digit Recognition using Deep Learning | Machine Learning Projects for Final Year CSE

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Handwritten Digit Recognition using Machine Learning Handwritten Digit Recognition System developed using Python Programming Language and User Interface designed using Django, when user run the python script the program will generate one URL, user have to copy and paste that URL in any browser and home page will open and in that particular space user

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Food Recommendation System | Recommender System using Deep Learning

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Recommendation System using Machine Learning A food recommendation engine is an important tool for promoting healthy eating habits. This type of engine uses information about nutriential content and ingredients of foods to make recommendations to user. The Project frontend is made with Django. Django is a open source framework in python language. It helps to

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Diet recommendation system using machine learning with Python

Diet Recommendation System Using Machine Learning | Python Project

MACHINE LEARNING /

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 | Final Year Project Computer Science

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Food Recommendation System using Machine Learning This is the Automatic Diet Recommendation System, which is recommending through machine learning algorithm, so you have to provide basic information like age, height, weight, gender and Meals per day then model will predict and give basic information that how many calories to consume each day to maintain, lose

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Diet Recommendation System using AI | Machine Learning Projects

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Personalized Diet Recommendation System using Machine Learning Diet Recommendation Chabot, this project will takes input from user and based on user information it create a diet and tell us how much calorie user have to consume and what are the calorie consume from the specific diet so this is the main objective. In this project

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Diabetic retinopathy detection using machine learning with Python

Diabetic Retinopathy Detection Using Machine Learning | Python Project

MACHINE LEARNING /

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-3 | Computer Science Major Project Ideas

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Intrusion Detection System using Machine Learning Exploratory data analysis was performed to understand the distribution of the label, protocol, service, duration and other features. This provided insights like common attacks and frequently used protocols/services. Bivariate analysis identified relationships between variables like associations between protocols and attack classes. The data was pre-processed by encoding categorical variables

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DDOS Attack Detection using Machine Learning-2 | IEEE Projects for Computer Science 2024

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DDoS Attacks Classification by Machine learning Network intrusion detection is critical for protecting systems against cyber threats. This report presents a machine learning approach for classifying network traffic as normal or attack types using the NSL-KDD dataset. The data contains records of simulated network connections with 43 features and labels for normal or 24 attack

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

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Intrusion Detection System in Cyber Security Network intrusion detection is critical for protecting systems against cyber threats. This report presents a machine learning approach for classifying network traffic as normal or attack types using the NSL-KDD dataset. The data contains records of simulated network connections with 43 features and labels for normal or 24 attack

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