Enhance your application with the ability to see and interact with humans using any RGB camera.
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Updated
Dec 7, 2021 - Python
Enhance your application with the ability to see and interact with humans using any RGB camera.
Food calorie estimations Using Deep Learning And Computer Vision
Digitization, Analysis & Prediction of Medical Reports using Deep Learning.
Open reproducible benchmarks for food-image recognition models and APIs.
Android application for food identification and calorie estimation using Flutter and TensorFlow Lite.
This repository contains the code and data for a multi-task deep learning project that aims to recognize food ingredients from images and estimate their calorie content. The project utilizes a combination of image recognition techniques and natural language processing to analyze food images and extract relevant information.
AI-powered food recognition and calorie estimation using EfficientNetB0 and Streamlit.
Deep learning-based food image classification using MobileNetV2 and the Food-101 dataset. Features 101 food categories, prediction confidence, a Streamlit web app, and approximate calorie estimation using nutrition references and user-selected serving sizes.
Self-hosted Feishu bot for health check-ins, scoring, calorie estimation, and weekly reports
NutriLens: AI web app that identifies food from a photo and estimates portion weight, calories and macros. Built with React, Vite, Tailwind, FastAPI and Google Gemini.
The Food Nutrition Detector is an ASP.NET Core (.NET 8) Web API that uses Azure OpenAI to identify food in an uploaded image and estimate basic nutritional values. The API accepts an image and returns a JSON object with the detected food name and nutrient estimates along with optional notes.
Discipline+ is a privacy-first calorie and macro tracker that lives entirely on your device. Log meals, track weight, visualize progress, and get AI-powered nutrition coaching — all without ever sending your data to a server.
Streamlit app using Google Gemini AI to analyze food images, identify items, and estimate calories — fast, accurate, and browser-based.
Webcam food recognition: YOLO segmentation estimates portions, calories and macros, shown on an ESP32 touch display, with a daily diary and hold-to-talk voice logging.
AI-powered Food Calorie Estimator using Streamlit, YOLO, Bootstrap, and Python backend logic.
Photo-based nutrition tracker that connects what you eat to how you feel. Source for nouriloop.com (Symfony + Claude).
A multimodal demo showcasing image understanding and conversational AI capabilities with Google Gemini Vision and Streamlit.
Cal Hub - Calorie Tracker
A modern, premium glass morphism web app built Firebase v10 to track Indian/international foods, macro/micronutrients, and streaks. Features dynamic database search, smart AI-like insights, and a secure role-based Admin Panel.
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