
Overview
CINNAH reduces decision fatigue by aggregating reviews, showtimes, prices, seat maps, and calendars—then recommending the best movie, theater/room, and seats for your taste, schedule, and budget.
Problem
Picking a movie + theater + seats across different sites is tedious, and generic reviews rarely focus on what each viewer cares about.
Solution
Preference-aware review digests (e.g., emphasize CGI if that’s your priority), explainable recommendations for theater/room (like IMAX for big-screen titles) and seats, best-value ticket suggestions, and calendar sync for groups.
Features
AI reviews & recommendations
- LLM-condensed, tailored review summaries with de-biasing filters and strict no-hallucination policy
- Content- and context-aware recommenders (history, mood, time, location)
Theaters, seats, and pricing
- Seat-view generator from your exact row/seat
- Finds best-value tickets across nearby theaters
- Concession pairings per movie (fun, contextual UX)
Calendars & groups
- Imports your calendar and checks group availability
- Suggests times that actually fit schedules
Architecture
Ingestion → normalization → ranking/recommendation → explainable UI. Tokenized calendar/ticketing access; provider-agnostic seat maps.
Status & Next Steps
- Status: In design/prototyping; integrating partners and datasets
- Expand provider coverage for seat maps and ticketing
- Cold-start strategies and diversity in results
- Latency budgets for snappy multi-API flows
