Food Tech / AI · Case Study

FlavoGen

An AI recipe chatbot wrapped in a community-driven food discovery platform.

FlavoGen

The Challenge

Recipe platforms tend to be either a static database or a social network — this client wanted both: AI-generated personalization plus genuine community discovery, rating, and moderation.

The Approach

We built an intelligent recipe-sharing ecosystem with an AI chatbot that generates and recommends recipes, full recipe CRUD with moderation, and social features including rating, reviewing, and bookmarking. A responsive React interface delivers the UX, with JWT-based authentication securing access, and a backend engineered for future extension into nutrition analytics and e-commerce.

Key Capabilities

AI chatbot for recipe generation & recommendation
Recipe CRUD with content moderation
Social features (ratings, reviews, bookmarking)
JWT-secured authentication
Backend architected for nutrition analytics & e-commerce expansion

Tech Stack

DjangoReactTailwindOpenAI

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