RotiShotiAI
Food discovery for Pakistani cuisine where you describe what you feel like eating and it answers properly.
Client
Independent build
Year
2025
Role
Sole builder. Data model, retrieval, AI layer and interface.
Most restaurant search is a filter list. RotiShoti lets people ask the way they actually talk, something like cheap karahi near me that is open late, and returns places that fit.
Semantic search runs over the restaurant and dish data, with budget and location narrowing the result set. Conversation context carries between turns so a follow up question does not start from zero.
It runs on Groq LLaMA models for fast responses with Supabase behind it, which keeps the experience quick without an expensive per query bill.
- Natural language search across restaurants and dishes
- Budget aware filtering
- Location aware recommendations
- Conversation memory across turns
- Live data from Supabase
- Semantic search that stays fast as the dataset grows
- Holding context without the token bill climbing
- Location queries combined with several other filters at once
Built with
Next project
Javea Denia Rentals
Open to new work
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