Starter repository for the film and tv challenge based on a fictitious startup as part of the Codurance AI Hackathon
I am a lot more proud of the code produced in this task. I think I could have produced more with some AI assistance, but I trust more what I wrote, and I feel far more ownership over it.
StreamStack is a new startup aiming to build a community-driven platform where users can review and rate Netflix shows and films.
They believe that while Netflix offers a vast catalogue of content, it lacks a social layer for discussion, recommendations, and authentic viewer feedback.
The first version of the platform will be a simple web application allowing users to:
- Browse Netflix titles
- View detailed information
- Leave ratings and written reviews
StreamStack is open to using any technology or framework (React, Vue, Angular, Django, Flask, Spring Boot, etc.).
The only restriction: no low-code or no-code tools are allowed.
The UI/UX is completely up to you.
They encourage creativity and want an intuitive, visually engaging interface that would appeal to TV and film enthusiasts.
To get started, StreamStack recommends using this open-source Netflix titles dataset from Kaggle:
🔗 Netflix Shows Dataset
- Display a list of Netflix titles (films and series) with metadata such as title, type, and release year.
- Users should be able to filter by director and rating.
- Users should be able to sort by release year or title.
- Navigate to a detailed page when a title is clicked.
- Show description, cast, and additional metadata.
- Include a reviews and ratings section.
- Allow users to submit a rating (e.g., 1 to 5 stars) and a written review for any title.
- Assume all users are anonymous — no authentication is required.
- Implement a backend API to:
- Serve the title data
- Manage user reviews
- Load the Netflix dataset into a local database or serve from memory.
- Build a responsive, user-friendly frontend.
- The design and styling are up to you — focus on clarity and usability.
- For each title, calculate and display the average user rating based on submitted reviews.
- Implement a search bar that lets users search titles by name or keyword.
- Please fork the following GitHub repository:
Codurance-2025-ai-hackathon-streamstackand commit your solution there. - There is no requirement to build a CI/CD pipeline.
- Local development is sufficient — no deployment to an external environment is needed.
- Code quality is important to StreamStack.
Your solution should be well-designed and written in a test-driven manner.