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https://github.com/kanugurajesh/movie-recommendation-system
A saas based application to recommend movies
https://github.com/kanugurajesh/movie-recommendation-system
content-based-recommendation data-processing fastapi jupyter-notebook playwright responsive-ui saas sveltekit testing themoviedb-api typescript
Last synced: about 1 month ago
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A saas based application to recommend movies
- Host: GitHub
- URL: https://github.com/kanugurajesh/movie-recommendation-system
- Owner: kanugurajesh
- License: mit
- Created: 2023-11-30T18:40:35.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-12-02T02:13:24.000Z (about 1 year ago)
- Last Synced: 2024-01-27T04:01:22.553Z (11 months ago)
- Topics: content-based-recommendation, data-processing, fastapi, jupyter-notebook, playwright, responsive-ui, saas, sveltekit, testing, themoviedb-api, typescript
- Language: Jupyter Notebook
- Homepage:
- Size: 125 KB
- Stars: 6
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: contributing.md
- License: LICENSE
- Code of conduct: code_of_conduct.md
Awesome Lists containing this project
README
#### 🌟 Please Star my repo if you like it
# Movie Recommendation System
🎬 Welcome to the Ultimate Movie Recommendation System! 🌟 Your go-to solution for discovering new and exciting movies tailored just for you. 🍿 Our system is powered by a vast dataset of 5000 movies, guaranteeing accurate and personalized recommendations to elevate your cinematic experience. Let the movie magic begin! 🎉✨
## Features:
1. **Comprehensive Movie Dataset 📊:**
- Our system is fueled by a vast dataset of 5000 movies, ensuring a diverse range of options to cater to every taste.
2. **Accurate Recommendations 🎯:**
- Experience precision in movie suggestions, tailored specifically to your preferences for an immersive cinematic journey.
3. **User-Friendly Interface 🖥️:**
- A seamless and intuitive interface designed for ease of use, making your movie exploration a delightful experience.
4. **Personalized Movie Magic ✨:**
- Enjoy personalized recommendations that take into account your unique tastes, providing a curated selection just for you.
5. **Exciting New Discoveries 🍿:**
- Uncover hidden gems and explore exciting new releases that align with your cinematic preferences.
6. **Easy Integration 🚀:**
- Easily integrate our recommendation system into your movie-watching routine for instant access to fresh and exciting suggestions.
7. **Open Source 🌐:**
- Our system is open source, allowing developers to contribute, customize, and enhance the movie recommendation experience.
8. **Community Support 👥:**
- Join a vibrant community of movie enthusiasts to share recommendations, discuss favorite films, and stay updated on the latest cinematic trends.
Let the movie magic begin! 🎉✨
## Architecture
## How to Use
1. **Clone the Repository:**
```bash
git clone https://github.com/kanugurajesh/Movie-Recommendation-System.git
```
2. **Navigate to the Project Directory:**
```bash
cd Movie-Recommendation-System
```
3. **Installing the frontend**
```bash
npm install
```
3. **Installing the backend:**
```bash
python -m venv env
env/bin/activate
pip install -r requirements.txt
```
4. **Setting up .env**
```bash
cp .env.example .env
go to themoviedb and get an api key and add it in .env
```
5. **Run the jupyter notebook**
```bash
mkdir helpers
Run the notebook till the last cell and save the movies_list.pkl and similarity_movie.pkl in the helpers folder
```
6. **Run the System[Backend]:**
```bash
activate the env[python environment]
uvicorn server:app --reload
```
7. **Run the System[Frontend]:**
```bash
npm run dev
```
8. **Input Your Favorite Movie:**
Select your favourite movie from the list of movies
9. **Enjoy Your Recommendations:**
Sit back and let our system generate personalized movie recommendations just for you!
# Demo
## Contribution Guidelines
We welcome contributions to enhance and improve the Movie Recommendation System. If you have ideas or improvements, feel free to submit a pull request following our contribution guidelines.
## Feedback and Issues
If you encounter any issues or have feedback, please open an issue on our [GitHub repository](https://github.com/kanugurajesh/Movie-Recommendation-System/issues). We appreciate your input and strive to make our system better with each update.
## 🔗 Links
[](https://rajeshportfolio.me/)
[](https://www.linkedin.com/in/rajesh-kanugu-aba8a3254/)
[](https://twitter.com/exploringengin1)
## Tech Stack
- Sveltekit
- Python
- fastapi
- Data preprocessing
## Authors
- [@kanugurajesh](https://www.github.com/kanugurajesh)
- [@rajesh604](https://www.github.com/rajesh604)
## Contributing
Contributions are always welcome!
See [`contributing.md`](https://github.com/kanugurajesh/Movie-Recommendation-System/blob/main/contributing.md) for ways to get started.
Please adhere to this project's [`code of conduct`](https://github.com/kanugurajesh/Movie-Recommendation-System/blob/main/code_of_conduct.md).
## Support
For support, you can buy me a coffee
## License
[](https://github.com/kanugurajesh/Movie-Recommendation-System/blob/master/LICENSE.txt)
Happy movie watching!