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It works as an intelligent filter that helps you discover anime, movies, music, and other content in a personalized way, reducing information overload.\n\n## About This Project\n\n![c4](https://github.com/user-attachments/assets/13dbb60e-91a3-4a1b-a3b0-851a62292675)\n\nWe will build an anime recommendation system using the **[llama-3.1-8b-instant](https://console.groq.com/docs/model/llama-3.1-8b-instant)** model through the **[Groq API](https://console.groq.com/home)**.  \nThe system will recommend anime similar to the one you choose, returning three personalized suggestions.  \nFinally, we will deploy the application on **[Amazon EC2](https://aws.amazon.com/ec2/)** and monitor its performance with **[Grafana](https://grafana.com/)**.\n\n\n\n## Development Roadmap\n\nFollow these steps to implement the system:\n\n1. **Environment Setup** - Prepare the project base  \n2. **Data Collection** - Gather anime information  \n3. **Data Processing** - Structure the collected data  \n4. **Recommendation Pipeline** - Implement the following stages:\n   - Data loading  \n   - Processing and transformation  \n   - Vector database creation  \n   - Embedding application  \n   - Database storage  \n5. **Cloud Deployment** - Deploy on Amazon EC2  \n6. **Monitoring** - Set up Grafana  \n7. **Test Recommendations** - Run and validate the system\n\n## Prerequisites\n\n- **Python** | Version 3.11.9  \n- **AWS Account** | Free tier  \n- **Grafana Account** | Free tier  \n\n### Required Packages\n\nInstall these Python packages before running the code:\n\n```bash\nlangchain\nlangchain-community\nlangchain-groq\nchromadb\npandas\npython-dotenv\nsentence-transformers\nlangchain-huggingface\nstreamlit\n```\n\n### Demo\n\nhttps://github.com/user-attachments/assets/df9bf6fa-be7b-4263-a22f-9a51dfa637f4\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcllspy%2Fsimilar.me","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcllspy%2Fsimilar.me","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcllspy%2Fsimilar.me/lists"}