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WIP - Cinna — AI Movie Helper

Condensed, preference-aware reviews + smart theater/room and seat picks, price value, and calendar-aware showtimes.

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Cinna movie planner hero
2025Project leadBackend integrations (auth, data, calendars, ticketing)
LLM SummarizationRecommendersSeat-Map RenderingPricing/InventoryCalendar & Ticketing APIs

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

Website created by Brighton Young. Please contact me at brightonyoung.dev@gmail.com.