Completed

AI Calorie Estimator

Estimate food calories from images using Computer Vision & Multimodal LLMs

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System Architecture Visual

Project Overview

A web-based application that estimates food calories from uploaded images. Using image recognition and AI, users can photograph their meals and receive instant calorie estimates, helping track nutrition and make informed dietary choices.

Use Case Study

Food image upload interface

Upload meal photos for analysis

Calorie estimation results

Instant calorie estimates with breakdown

Methodology & Architecture

1. Image Upload

Users upload meal photos via web interface.

2. Vision Analysis

Multimodal LLM identifies food items and portions from the image.

3. Calorie Estimation

AI correlates identified foods with nutritional database for calorie output.

4. Results Display

Clean UI presents estimates with breakdown by food item.

Technologies Used

Python
Computer Vision
Multimodal LLM
Flask

Key Learnings

  • Multimodal models for image-to-text understanding in food recognition.
  • Integrating vision APIs with nutritional databases.
  • Handling varied lighting and plating for robust estimation.