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

Open reproducible benchmarks for food-image recognition models and APIs.

Digitization, Analysis & Prediction of Medical Reports using Deep Learning.

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.

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.

A multimodal demo showcasing image understanding and conversational AI capabilities with Google Gemini Vision and Streamlit.

Cal Hub - Calorie Tracker

Streamlit app using Google Gemini AI to analyze food images, identify items, and estimate calories — fast, accurate, and browser-based.

Web app that detects food items in meal photos using YOLOv8 and estimates calories via the USDA FoodData Central API

GenAI-based calorie estimator & tracking app

A Streamlit web app that uses deep learning to recognize food items from images and estimate their calorie content, helping users track dietary intake.

AI Nutrition Vision analyzes food images using OpenAI Vision to detect food items and produce detailed nutrition insights (calories, protein, fat, serving size, etc.) with clean Streamlit UI.

AI-powered food calorie and nutrition analyzer using Gemini & Streamlit

AI-powered food calorie estimation and nutrition analysis application