Disease Prediction from Symptoms using Machine Learning In this blog, User have to provide input of disease symptoms and according to symptoms, total three symptoms user have to provide input and model will gave output with different algorithm like Decision Tree, Random Forest, Naive Bayes and predict disease. First user have to register account and […]
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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 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
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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Food Recommendation System using Machine Learning This is Diet Recommender Chatbot, it will take user parameters and based on user inputs it will create diet and tell how much calorie you should consume and what are the calories you will consume from diet. User Interface developed in Django, Python. Body Mass Index Calculator in which
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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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 CNN Welcome to our Diabetic Retinopathy Detector, a cutting-edge solution designed to empower individuals in the early detection of diabetic retinopathy. Simply upload your retinal image, and our advanced system, powered by ResNet technology, swiftly analyzes it, providing you with a percentage-based assessment of the likelihood of diabetic retinopathy. At the
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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 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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