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Emotion Detection using Machine Learning | Text Emotion Detection in Python

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Facial Emotion Recognition from Speech, Text and Facial using Python In automobiles, safety is important factor and driver factor is most efficient for road safety and it found that 90% of road accident are due to driver fault. The driver emotion plays a important role in ensuring safety while driving. Thus detecting driver emotion could […]

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Disease Prediction based on Symptoms using Machine Learning | Final Year Project Computer Science

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In this blog, will show project named disease prediction system, in this user have to enter the symptoms and machine learning model will predict disease based on symptoms. Disease Detection using Machine Learning Software Requirements :- Hardware Requirement:- ☎️ Contact Us For More Queries:- 📲 Call/WhatsApp: +91-9460060699 🌎 Website: www.techieprojects.com 📺 Instagram: @pythonprojects_ 💡 Checkout

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Disease Prediction System using Machine Learning

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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 based on Symptoms using Machine Learning

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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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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 | Food Recommendation System using Python

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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

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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 | Machine Learning Project 2024

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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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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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