{"id":28402124,"url":"https://github.com/abhaysingh71/book-recommendation-system","last_synced_at":"2026-02-17T15:02:13.088Z","repository":{"id":276463734,"uuid":"929364788","full_name":"AbhaySingh71/Book-Recommendation-System","owner":"AbhaySingh71","description":"The Book Recommendation System is an AI-powered application that suggests books based on user preferences.The system features two approaches: Popularity-Based Recommender System, which highlights the top 50 most-rated books, and Collaborative Filtering-Based Recommender System, which recommends books based on user behavior.","archived":false,"fork":false,"pushed_at":"2025-03-12T14:19:28.000Z","size":45699,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-01T22:43:27.155Z","etag":null,"topics":["data-science","dataanalysis","flask-application","machine-learning","python","recommender-system","render"],"latest_commit_sha":null,"homepage":"https://bookverse-yqux.onrender.com/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AbhaySingh71.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-02-08T11:30:01.000Z","updated_at":"2025-03-12T14:19:31.000Z","dependencies_parsed_at":"2025-02-08T12:37:32.364Z","dependency_job_id":null,"html_url":"https://github.com/AbhaySingh71/Book-Recommendation-System","commit_stats":null,"previous_names":["abhaysingh71/book-recommendation-system"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/AbhaySingh71/Book-Recommendation-System","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbhaySingh71%2FBook-Recommendation-System","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbhaySingh71%2FBook-Recommendation-System/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbhaySingh71%2FBook-Recommendation-System/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbhaySingh71%2FBook-Recommendation-System/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AbhaySingh71","download_url":"https://codeload.github.com/AbhaySingh71/Book-Recommendation-System/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbhaySingh71%2FBook-Recommendation-System/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29548201,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-17T14:33:00.708Z","status":"ssl_error","status_checked_at":"2026-02-17T14:32:58.657Z","response_time":100,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-science","dataanalysis","flask-application","machine-learning","python","recommender-system","render"],"created_at":"2025-06-01T14:36:33.848Z","updated_at":"2026-02-17T15:02:13.077Z","avatar_url":"https://github.com/AbhaySingh71.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cbody\u003e\n    \u003ch1 align=\"center\"\u003e📚 Book Recommendation System 🚀\u003c/h1\u003e\n    \u003cp align=\"center\"\u003e\n        \u003cstrong\u003eA machine learning-based recommendation system with an interactive web interface.\u003c/strong\u003e\n    \u003c/p\u003e\n    \n  \u003cimg src=\"https://github.com/user-attachments/assets/ca4fe70c-8615-43ff-aeb5-ef891858396b\" alt=\"Project Banner\" width=\"100%\"\u003e\n    \n  \u003chr\u003e\n    \n  \u003ch2\u003e🔍 About the Project\u003c/h2\u003e\n    \u003cp\u003e\n        The \u003cstrong\u003eBook Recommendation System\u003c/strong\u003e is a full-stack project featuring a \u003cstrong\u003eFlask-based backend\u003c/strong\u003e for machine learning and a \u003cstrong\u003eReact + Vite\u003c/strong\u003e frontend for an intuitive user experience. It suggests books based on user preferences using \u003cstrong\u003ecosine similarity\u003c/strong\u003e and collaborative filtering.\n    \u003c/p\u003e\n    \n   \u003chr\u003e\n    \n   \u003ch2\u003e🚀 Features\u003c/h2\u003e\n    \u003cul\u003e\n        \u003cli\u003e🔍 \u003cstrong\u003eContent-Based Filtering\u003c/strong\u003e using Cosine Similarity\u003c/li\u003e\n        \u003cli\u003e📊 \u003cstrong\u003ePopularity-Based Recommender System\u003c/strong\u003e - Displays top 50 books\u003c/li\u003e\n        \u003cli\u003e🤝 \u003cstrong\u003eCollaborative Filtering-Based Recommendations\u003c/strong\u003e\u003c/li\u003e\n        \u003cli\u003e🌐 \u003cstrong\u003eFlask Backend\u003c/strong\u003e handling ML model \u0026 API endpoints\u003c/li\u003e\n        \u003cli\u003e⚛️ \u003cstrong\u003eReact + Vite Frontend\u003c/strong\u003e for an interactive UI\u003c/li\u003e\n        \u003cli\u003e☁️ \u003cstrong\u003eDeployed on Render\u003c/strong\u003e for accessibility\u003c/li\u003e\n    \u003c/ul\u003e\n    \n   \u003chr\u003e\n    \n   \u003ch2\u003e🛠️ Tech Stack\u003c/h2\u003e\n    \u003cul\u003e\n        \u003cli\u003e\u003cstrong\u003ePython\u003c/strong\u003e 🐍 - Backend Language\u003c/li\u003e\n        \u003cli\u003e\u003cstrong\u003eNumPy\u003c/strong\u003e 🔢 - Numerical Computations\u003c/li\u003e\n        \u003cli\u003e\u003cstrong\u003ePandas\u003c/strong\u003e 📊 - Data Processing\u003c/li\u003e\n        \u003cli\u003e\u003cstrong\u003eScikit-learn\u003c/strong\u003e 🤖 - ML Model\u003c/li\u003e\n        \u003cli\u003e\u003cstrong\u003eFlask\u003c/strong\u003e 🌐 - Backend Framework\u003c/li\u003e\n        \u003cli\u003e\u003cstrong\u003eReact + Vite\u003c/strong\u003e ⚛️ - Frontend\u003c/li\u003e\n        \u003cli\u003e\u003cstrong\u003eRender\u003c/strong\u003e ☁️ - Deployment Platform\u003c/li\u003e\n    \u003c/ul\u003e\n    \n   \u003chr\u003e\n    \n  \u003ch2\u003e📂 Folder Structure\u003c/h2\u003e\n    \u003cpre\u003e\n📦 Book-Recommendation-System\n├── 📂 backend          # Flask ML Backend\n│   ├── 📄 app.py       # API Server\n│   ├── 📄 model.pkl    # Trained Recommendation Model\n│   ├── 📄 requirements.txt  # Backend Dependencies\n├── 📂 frontend         # React + Vite Frontend\n│   ├── 📄 index.html   # Main HTML\n│   ├── 📄 App.tsx      # Main React Component\n│   ├── 📄 styles.css   # UI Styling\n├── 📄 README.md        # Project Documentation\n    \u003c/pre\u003e\n    \n   \u003chr\u003e\n   \n   \u003ch2\u003e🚀 How to Run\u003c/h2\u003e\n    \n  \u003ch3\u003e1️⃣ Clone the Repository\u003c/h3\u003e\n    \u003cpre\u003e\n    git clone https://github.com/YourUsername/Book-Recommendation-System.git\n    cd Book-Recommendation-System\n    \u003c/pre\u003e\n    \n   \u003ch3\u003e2️⃣ Setup Backend (ML Part)\u003c/h3\u003e\n    \u003cpre\u003e\n    cd backend\n    python -m venv env\n    source env/bin/activate  # On macOS/Linux\n    env\\Scripts\\activate  # On Windows\n    pip install -r requirements.txt\n    python app.py\n    \u003c/pre\u003e\n    \n   \u003ch3\u003e3️⃣ Setup Frontend (React + Vite)\u003c/h3\u003e\n    \u003cpre\u003e\n    cd frontend\n    npm install\n    npm run dev\n    \u003c/pre\u003e\n    \n   \u003cp\u003eThen, open \u003ca href=\"http://127.0.0.1:5000/\"\u003ehttp://127.0.0.1:5000/\u003c/a\u003e for the backend and the frontend will be available at \u003ca href=\"http://localhost:5173/\"\u003ehttp://localhost:5173/\u003c/a\u003e.\u003c/p\u003e\n    \n   \u003chr\u003e\n    \n  \u003ch2\u003e🚀 Deployment\u003c/h2\u003e\n    \u003cp\u003eThe project is deployed on \u003cstrong\u003eRender\u003c/strong\u003e. You can access it here:\u003c/p\u003e\n    \u003cp align=\"center\"\u003e\n        \u003ca href=\"https://bookverse-yqux.onrender.com/\" target=\"_blank\"\u003e\n            \u003cstrong\u003e🌐 Open Live Demo\u003c/strong\u003e\n        \u003c/a\u003e\n    \u003c/p\u003e\n    \n  \u003chr\u003e\n    \n   \u003ch2\u003e📜 License\u003c/h2\u003e\n    \u003cp\u003eThis project is open-source and available under the \u003cstrong\u003eMIT License\u003c/strong\u003e.\u003c/p\u003e\n    \n   \u003chr\u003e\n    \n   \u003ch2\u003e🙌 Contributing\u003c/h2\u003e\n    \u003cp\u003eContributions are welcome! Feel free to fork this repository, create a new branch, and submit a pull request. 😊\u003c/p\u003e\n    \n  \u003chr\u003e\n    \n  \n    \n  \u003ch3 align=\"center\"\u003e💡 Happy Learning! 🚀\u003c/h3\u003e\n\u003c/body\u003e\n\u003c/html\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhaysingh71%2Fbook-recommendation-system","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabhaysingh71%2Fbook-recommendation-system","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhaysingh71%2Fbook-recommendation-system/lists"}