Browse
Search and filter the shelf. Open a film to rate it.
Genre
Subgenres All
Numeric Filters
Year Range
Score Range (0-100)
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Posters and film details from TMDB. This product uses the TMDB API but is not endorsed or certified by TMDB.
Rate Movies
Score, rewatch, mood & more
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Must See
Curated watchlist by subcategory. Check a film off when you've watched it.
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Watched — Needs Genre Data
Marked watched here but not yet in the catalog. Assign 4 subgenres & enrich to add each one.
Tonight
What should we watch? Ranked picks with how sure the model is — and why.
Rate Next
Films to rate so the model unlocks fastest — least-covered genres first, then the most uncertain well-known films.
Overview
Your movie database at a glance
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Movies
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Rated
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Avg Score
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Genres Rated
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Unseen
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Forgotten
Phase 4 Progress: Prediction Model
0 / 150 ratings
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0 / 3 genres
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Rate movies across multiple genres to unlock prediction models.
Import & Export
Manage your rating data
Drop rating export here
or click to browse — accepts kunz_ratings_*.json
Ratings Breakdown
Detailed view of your ratings
No ratings yet. Rate movies in the Rate panel.
Genre Analysis
How your ratings break down by genre
Rate some movies to see genre analysis.
Data Pipeline
Re-run export, enrichment, and validation steps
1
Export Catalog
MOVIE_CATALOG.md → movies_structured.json
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2
Enrich Metadata
TMDB API → movies_enriched.json
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3
Validate Data
Check duplicates, years, subgenres, coverage
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4
Reload Dashboard
Refresh all data from disk into the live dashboard
ready
Export → Enrich → Validate → Reload
Project Roadmap
From data foundation to ML predictions
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0
Data Foundation1,613 movies exported and validated
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1
Metadata Enrichment97.9% TMDB match — directors, cast, runtime, budget
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2
Rating InterfaceUnified dashboard with full 5-dimension rating
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3
Subgenre Analysis completeSubgenre affinity, director/actor patterns, temporal trends
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4
Baseline Model needs 150+ ratingsPredict ratings using weighted subgenre affinities
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5
Active LearningIdentify the most informative movies to rate next
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Advanced FeaturesDirector, actor, temporal, and runtime analysis
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Ensemble & PredictionsCombine all signals into a final prediction model
Phase 3 Analysis
Subgenre affinity, director/actor patterns, temporal trends
Rate 2+ movies to see analysis.
Predictions
ML-based rating predictions for unwatched movies
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