🏃♂️ Predict calories burnt with a machine learning model that analyzes personal data and exercise metrics for accurate estimations.
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Updated
Nov 11, 2025 - Python
🏃♂️ Predict calories burnt with a machine learning model that analyzes personal data and exercise metrics for accurate estimations.
Java mini projects are small, simple applications that help practice Java concepts in a practical way.
A Java application that calculates daily calorie needs and macronutrient ratios for athletes based on personal metrics like age, weight, height, activity level, and fitness goals.
An LLM-based app to easily track calories and exercise by taking a photo of your meal or describing your physical activity
Your daily dose of simple, smart fitness tips. Easy actions, real results. We help you stay motivated, save time, and become stronger every single day—no excuses, just progress.
a fitness website where you get tips and information about fitness, health and food for good diet to make you healthy
A modern, web application for calculating daily calorie needs, macro breakdowns, and personalized workout plans.
PANTS is a self-hosted, open-source nutrition tracker and tool for nutritional data analysis of ingredients and recipes.
FastAPI + PostgreSQL backend for meal calorie tracking with JWT auth, Dockerized setup, rate limiting, and testing.
Program that has support for multiple data formats (CSV, JSON) which takes user data (weight, caloric intake, and date), validates the entries, and analyzes trends. It provides both algebraic and optimized maintenance calorie intake recommendations to achieve one's weight goals
🍎🔍 Smart AI system that identifies food items in photos and calculates their calorie content automatically. Built with TensorFlow, YOLOv8, CUDA and computer vision for accurate nutrition tracking.
Multi-weight Body Mass Index (BMI) table based on your height, age and sex, with calculated Body Fat/Lean Percentage, Base Metabolic Rate (BMR) and Total Daily Energy Expenditure (TDEE) for various activity levels.
CandyMeter is a computer vision project that uses YOLO to detect candies and estimate calorie intake in real time. Supporting 11 classes, it works across images, videos, and live camera feeds, overlaying bounding boxes, confidence scores, counts, and calorie values. It showcases deep learning for nutrition tracking & food recognition app
Web application that addresses health, nutrition, dietary guidance, BMI calculator, BMR calculator, daily calorie needs calculator & food nutrition search tool.
Repository for the CalCalSheet scripts
Streamlit app using Google Gemini AI to analyze food images, identify items, and estimate calories — fast, accurate, and browser-based.
Simple API-based food calories calculator for quick nutritional insights from photo
A Python-based Diet Coach app that calculates total nutritional values—calories, fats, proteins, carbohydrates, and sugars—based on user-selected foods and quantities. Built using a JSON nutrition dataset for real-time feedback on dietary choices. Ideal for health-conscious users and developers interested in nutrition-focused applications.
Health Pulse+: a responsive, themed web health calculator for metrics, calories, and heart rates.
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