An AI-driven system that employs computer vision models to identify food items from image inputs. It maps recognized objects to nutritional databases to output real-time caloric and nutrient facts.
Tech Stack
Jupyter NotebookAI, ML & Data
Why Food-Image-Recognition?
• Automated macro identification
• Extensible model architecture
• No per-scan API costs
Limitations
• High GPU requirements for inference
• Accuracy depends on training data
• Complex initial environment setup
2/13/2026
Last Update
56
Forks
2
Issues
MIT
License
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