FilmVault (AI-Automated Movie Tracker)

FilmVault (AI-Automated Movie Tracker) — an experiment shown in the showcase reel.

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Video

FilmVault (AI-Automated Movie Tracker) — an experiment shown in the showcase reel.

Details
Built with
Sonnet 5NEWSonnet 4.6
Posted by
We haven't verified this person made this build — attribution is our best guess from public sources.
Discovered
Discovered onYouTube
Source date
Published on YouTube Jul 6, 2026
Listed
Added to Dropday just now
Prompt
CONTEXT
This mimics a real content acquisition workflow used in OTT/media companies:
search a film, auto-pull its metadata, log it in a tracker, and manage its
rights/acquisition status over time.
TECH STACK
- Backend: Python, Flask, Flask-CORS
- External API: OMDB API (http://www.omdbapi.com) -- free tier, needs an API key
- Data storage: Excel file (films.xlsx) via openpyxl
- Frontend: plain HTML, CSS, JavaScript (no framework)
CORE FEATURES
1. Search bar where I type a film title (e.g. "RRR").
2. On search, call the OMDB API and fetch: title, year, language, genre,
director, cast, IMDB rating, plot, and poster URL.
3. Display the result as a card: poster image on one side, details on the
other.
4. Below the fetched details, show editable fields for:
- Rights Status (dropdown: Available / Acquired / Expired)
- Agreement Expiry (date picker)
- Follow-up Status (dropdown: Pending / In Progress / Completed)
5. A "Save" button that writes the film (fetched data + the 3 editable
fields + today's date as "Added On") as a new row into films.xlsx,
creating the file with proper headers if it doesn't exist yet.
6. A table below the search section listing all films currently saved in
films.xlsx, reading from the Excel file live.
7. Each row in the table should be editable -- let me update Rights Status,
Agreement Expiry, or Follow-up Status for an existing entry and save
the change back to the Excel file.
8. A "Download Excel Report" button that lets me download the current
films.xlsx file.
EXCEL COLUMNS (in this order)
Film Name | Year | Language | Genre | Director | Cast | IMDB Rating | Plot |
Rights Status | Agreement Expiry | Follow-up Status | Added On
BACKEND ROUTES NEEDED
- GET /
-> serve the frontend
- GET /search?title=... -> call OMDB, return JSON film data
- POST /save
-> append a new row to films.xlsx
- GET /films
-> return all saved films as JSON (for the table)
- POST /update
-> update an existing row's editable fields
- GET /download
-> download films.xlsx
REQUIREMENTS
- Use an OMDB API key from an environment variable (OMDB_API_KEY), and
clearly show me where to put my own key.
- Handle the case where OMDB returns "Movie not found."
- Format the Excel sheet nicely: bold headers, auto-sized columns, and
a header row background color using openpyxl styling.
- Keep the frontend simple and clean -- a single index.html with inline
CSS/JS is fine, styled like a lightweight internal tool, not flashy.
- Include a requirements.txt (flask, flask-cors, openpyxl, requests).
- Include a short README with setup steps: install dependencies, add
API key, run app.py, open localhost:5000.
DELIVERABLE
Give me the full project: app.py, index.html, requirements.txt, and README.md,
structured so I can just drop in my OMDB API key and run it locally.
Source