{"id":27945835,"url":"https://github.com/dchobarkar/movie-recommender-python","last_synced_at":"2025-05-07T13:06:10.326Z","repository":{"id":287331794,"uuid":"964372103","full_name":"dchobarkar/movie-recommender-python","owner":"dchobarkar","description":"Hands-on Movie Recommender in Python using MovieLens dataset.","archived":false,"fork":false,"pushed_at":"2025-04-14T09:28:17.000Z","size":864,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-07T13:06:07.826Z","etag":null,"topics":["collaborative-filtering","flask","machine-learning","movie-recommender","python","recommender-system","render-deployment","surprise"],"latest_commit_sha":null,"homepage":"https://movie-recommender-python-ehrd.onrender.com/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dchobarkar.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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,"zenodo":null}},"created_at":"2025-04-11T05:42:08.000Z","updated_at":"2025-04-14T09:19:48.000Z","dependencies_parsed_at":"2025-04-11T07:37:43.557Z","dependency_job_id":"318d10e5-2cc4-4129-8430-8f4b2ef5d098","html_url":"https://github.com/dchobarkar/movie-recommender-python","commit_stats":null,"previous_names":["dchobarkar/movie-recommender-python"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dchobarkar%2Fmovie-recommender-python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dchobarkar%2Fmovie-recommender-python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dchobarkar%2Fmovie-recommender-python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dchobarkar%2Fmovie-recommender-python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dchobarkar","download_url":"https://codeload.github.com/dchobarkar/movie-recommender-python/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252883206,"owners_count":21819160,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["collaborative-filtering","flask","machine-learning","movie-recommender","python","recommender-system","render-deployment","surprise"],"created_at":"2025-05-07T13:06:09.718Z","updated_at":"2025-05-07T13:06:10.314Z","avatar_url":"https://github.com/dchobarkar.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🎬 Intelligent Movie Recommender System\n\nA personalized movie recommendation engine powered by collaborative filtering using **SVD** (via `surprise` library) and a lightweight Flask frontend. Built as a hands-on AI project and synced with the blog:  \n👉 [Read the full article](https://dchobarkar.github.io/2024/09/21/hands-on-build-a-movie-recommender-in-python.html)\n\n## 🚀 Live Demo\n\n👉 [Try it on Render](https://movie-recommender-python-ehrd.onrender.com)\n\n\u003e Enter a `User ID` (like `1`, `10`, or `20`) and get a list of top-rated movie recommendations.\n\n## 📦 Features\n\n- 📊 Collaborative filtering with matrix factorization (SVD)\n- 🎯 Predicts top-N movies per user with scores\n- 🧠 Smart content-based fallback for title mapping\n- 🌐 Deployed on Render with live web interface\n- 🧪 Fully blog-synced — write as you build!\n\n## 🛠️ Tech Stack\n\n- Python 3.11\n- Flask\n- scikit-surprise\n- pandas / NumPy / Matplotlib\n- HTML / CSS (Jinja templates)\n- Render (cloud deployment)\n\n## 📁 Project Structure\n\n```\nmovie-recommender-python/\n├── data/                   # ratings.csv, movies.csv\n├── notebooks/              # EDA and preprocessing notebooks\n├── src/                    # Modular Python scripts\n├── web/                    # Flask app + templates\n│   ├── app.py\n│   └── templates/\n├── requirements.txt\n└── README.md\n```\n\n## 🧪 Sample User IDs\n\nTry the following user IDs to explore recommendations:\n\n- `1`\n- `10`\n- `20`\n- `50`\n- `75`\n\n## ⚙️ How to Run\n\n### 1. Install dependencies\n\n```bash\npip install -r requirements.txt\n```\n\n### 2. Start the Flask app\n\n```bash\ncd web\npython app.py\n```\n\nThen open your browser at [http://127.0.0.1:5000](http://127.0.0.1:5000)\n\n## 🧪 Try the API\n\n```bash\ncurl http://127.0.0.1:5000/api/recommend?userId=1\n```\n\n## 📚 Dataset Source\n\nMovieLens 100K  \n[https://grouplens.org/datasets/movielens/100k](https://grouplens.org/datasets/movielens/100k)\n\n## 📝 License\n\nMIT License\n\nMade with ❤️ by [Darshan Jitendra Chobarkar](https://darshanwebdev.com)\n\n## 💡 Author\n\nBuilt by [Darshan Chobarkar](https://github.com/dchobarkar)  \nInspired by [this blog post](https://dchobarkar.github.io/2024/09/21/hands-on-build-a-movie-recommender-in-python.html)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdchobarkar%2Fmovie-recommender-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdchobarkar%2Fmovie-recommender-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdchobarkar%2Fmovie-recommender-python/lists"}