Smart Diet Planner uses PyTorch and scikit-learn to predict daily calorie needs and generate personalized meal plans with detailed nutrition insights for each meal.

A smart ML-based app that predicts calorie content from food inputs and recommends a healthy diet using Gradio GUI.

A machine learning-based Streamlit app that predicts daily calorie needs and provides a personalized macronutrient and hydration plan based on user lifestyle inputs.

🔥 Advanced machine learning platform for accurate calorie burn prediction using comprehensive Kaggle fitness datasets. Features real-time predictions, professional analytics, and fitness industry integration capabilities.

Predicting the number of calories burned based on individual biometric and activity features using advanced ensemble machine learning techniques.

Machine Learning project predicting calories burned using regression and classification models (Gradient Boosting, Logistic Regression, Neural Network).

SmartFit AI uses machine learning to analyze fitness and health data, predict calorie burn, BMI, and body fat, and group users into fitness archetypes. It combines PCA, K-Means, and neural networks to generate personalized workout and diet recommendations with clear visual insights.