Multi-agent LLM system for meal planning and grocery budgeting, integrating recipe retrieval and ingredient price lookup using LLMs, SQL and vector databases.
MealMatch is an intelligent web application that suggests recipes based on the ingredients you already have at home. It leverages a multi-agent architecture using MESA and integrates with the Spoonacular API to retrieve real-world recipes.
A Django-based AI-powered system for classifying banana ripeness from images and providing value addition suggestions. The project integrates a trained machine learning model for ripeness detection, a backend API, and a frontend interface for users.
Deep learning project for pasta image classification using CNNs, data augmentation, and regularization.
Discover nearby restaurants
Enhanced RAG food recommendation chatbot — IBM Granite 3.3 8B + ChromaDB vector search on FoodDataSet with advanced search, interactive Q&A & RAG vs baseline comparison
Drop a fridge photo → get 3 AI-generated recipes instantly. Features ingredient detection, nutritional info, PDF export, share links with OG previews, recipe ratings, history sidebar & dark mode. Powered by Groq + Llama 4 Vision.
AI culinary intelligence — ingredient-first recipe synthesis, flavour pairing via food chemistry, dietary constraint enforcement, nutritional macro optimisation, and technique adaptation by skill level.
Multimodal multi-agent food intelligence system — CrewAI + IBM Watsonx Llama 3.2 90B Vision detects ingredients, filters by dietary restrictions, analyzes nutrition & suggests recipes via Gradio UI
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