| Feature | Description | Technical Highlights | |---------|-------------|----------------------| | | Dynamic grid of movie tiles curated to the user’s mood, time‑of‑day, and viewing history. | LLM‑generated natural‑language explanations (“Because you liked Inception and feel adventurous today”). | | Multimodal Mood Capture | Optional voice snippets, facial expression capture (via webcam/mobile camera), or textual mood entries. | Edge‑processed embeddings → sentiment vector → weighted into recommendation score. | | Cross‑Platform Sync | One‑click “Add to Watchlist” across Netflix, Prime Video, Disney+, Apple TV+, local cinema ticketing apps. | OAuth 2.0 + secure token vault; real‑time API orchestration via GraphQL gateway. | | Binge‑Watch Path Builder | Generates a sequenced list of thematically linked movies/series (e.g., “Neo‑Noir Marathon”). | Graph Neural Network maps content‑graph (genre, director, cinematography style) for optimal path. | | Explainability Layer | Users can ask “Why this recommendation?” and receive a concise, transparent rationale. | Retrieval‑augmented generation (RAG) with source citations from the user’s interaction logs. | | Parental Controls & Accessibility | Age‑gate filters, audio‑description tags, subtitles auto‑selection. | Integrated with platform‑wide parental‑control APIs; accessibility compliance (WCAG 2.2). |
(Prepared 10 April 2026)
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