{"id":31653033,"url":"https://github.com/nksmanya/lurnzo","last_synced_at":"2025-10-07T10:40:25.359Z","repository":{"id":313464018,"uuid":"1051498150","full_name":"nksmanya/LurnZo","owner":"nksmanya","description":"An AI Powered Study Companion Prototype","archived":false,"fork":false,"pushed_at":"2025-09-06T07:05:48.000Z","size":79,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-09-06T09:05:57.975Z","etag":null,"topics":["flask","frontend","hackathon-project","lurnzo","sdg-4"],"latest_commit_sha":null,"homepage":"","language":"HTML","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/nksmanya.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,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-09-06T05:44:34.000Z","updated_at":"2025-09-06T07:45:35.000Z","dependencies_parsed_at":"2025-09-06T09:06:02.403Z","dependency_job_id":"7a22213f-12c6-4cad-99e9-ab8e5c52465a","html_url":"https://github.com/nksmanya/LurnZo","commit_stats":null,"previous_names":["nksmanya/lurnzo"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/nksmanya/LurnZo","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nksmanya%2FLurnZo","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nksmanya%2FLurnZo/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nksmanya%2FLurnZo/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nksmanya%2FLurnZo/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/nksmanya","download_url":"https://codeload.github.com/nksmanya/LurnZo/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nksmanya%2FLurnZo/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278762926,"owners_count":26041444,"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","status":"online","status_checked_at":"2025-10-07T02:00:06.786Z","response_time":59,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["flask","frontend","hackathon-project","lurnzo","sdg-4"],"created_at":"2025-10-07T10:40:19.813Z","updated_at":"2025-10-07T10:40:25.354Z","avatar_url":"https://github.com/nksmanya.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# LurnZo – AI-Powered Learning Platform\n\nA comprehensive, gamified learning platform built with Flask that provides AI assistance, structured courses, coding challenges, resume analysis, and interview preparation.\n\n## 🚀 Features\n\n### Core Learning Platform\n- **AI-Powered Q\u0026A Assistant** - Get instant help with programming and learning questions\n- **Structured Courses** - Curated learning paths with lessons, quizzes, and certificates\n- **Gamification System** - Earn points, level up, unlock achievements, and compete on leaderboards\n- **Progress Tracking** - Monitor your learning journey with detailed analytics\n\n### Specialized Tools\n- **Coding Challenges** - Practice with real programming problems and get instant feedback\n- **Resume Analyzer** - AI-powered resume review with actionable improvement suggestions\n- **Interview Preparation** - Practice technical interview questions with hints and explanations\n- **Profile Dashboard** - Track achievements, streaks, and learning statistics\n\n### Technical Features\n- **Code Execution** - Run and test code submissions in multiple languages\n- **Responsive Design** - Modern, mobile-friendly UI with dark/light themes\n- **Real-time Updates** - Live progress tracking and instant feedback\n\n## 🛠️ Technology Stack\n\n- **Backend**: Flask (Python)\n- **Frontend**: HTML5, CSS3, JavaScript (Vanilla)\n\n## 📁 Project Structure\n\n```\nlur/\n├── app.py                 # Main Flask application\n├── requirements.txt       # Python dependencies\n├── README.md             # This file\n├── templates/            # HTML templates\n│   ├── index.html       # Homepage with AI chat\n│   ├── courses.html     # Course catalog\n│   ├── coding.html      # Coding challenges\n│   ├── resume.html      # Resume analyzer\n│   ├── interview.html   # Interview prep\n│   └── profile.html     # User profile \u0026 progress\n├── static/              # Static assets\n│   ├── css/\n│   │   └── styles.css   # Main stylesheet\n│   └── js/\n│       └── app.js       # Frontend logic\n├── services/            # Backend services\n│   ├── __init__.py\n│   ├── qa_engine.py     # AI Q\u0026A engine\n│   ├── gamification.py  # Points \u0026 achievements\n│   ├── course_manager.py # Course management\n│   ├── coding_challenges.py # Programming problems\n│   ├── resume_analyzer.py # Resume analysis\n│   └── interview_prep.py # Interview questions\n└── data/               # Data files\n    └── qa_dataset.json # Q\u0026A knowledge base\n```\n\n### Getting Started\n1. **Homepage** - Explore features and chat with AI assistant\n2. **Courses** - Browse and enroll in structured learning paths\n3. **Coding** - Practice programming with real challenges\n4. **Resume** - Get AI feedback on your resume\n5. **Interview** - Prepare for technical interviews\n6. **Profile** - Track your progress and achievements\n\n### Gamification\n- **Points System**: Earn points for completing lessons\n- **Leveling**: Progress through learning levels\n- **Achievements**: Unlock badges for milestones\n- **Streaks**: Maintain daily learning habits\n- **Leaderboard**: Compete with other learners\n\n## 🔮 Future Enhancements\n\n### Planned Features\n- **User Authentication** - Sign up, login, and personalized experiences\n- **Database Integration** - PostgreSQL/MySQL for scalable data storage\n- **Advanced AI** - Integration with OpenAI GPT or similar LLMs\n- **Video Lessons** - Multimedia learning content\n- **Peer Learning** - Study groups and collaborative features\n- **Mobile App** - Native iOS/Android applications\n- **API Access** - RESTful API for third-party integrations\n\n### Technical Improvements\n- **Caching Layer** - Redis for improved performance\n- **Background Jobs** - Celery for async task processing\n- **Real-time Features** - WebSocket support for live updates\n- **Analytics Dashboard** - Detailed learning insights\n- **A/B Testing** - Optimize learning experiences\n\n## 🤝 Contributing\n\n1. Fork the repository\n2. Create a feature branch (`git checkout -b feature/amazing-feature`)\n3. Commit your changes (`git commit -m 'Add amazing feature'`)\n4. Push to the branch (`git push origin feature/amazing-feature`)\n5. Open a Pull Request\n\n\n## 📝 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n**Built with ❤️ for students and lifelong learners by Manya**\n\n*Transform your learning journey with AI-powered assistance and gamified experiences.*\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnksmanya%2Flurnzo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnksmanya%2Flurnzo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnksmanya%2Flurnzo/lists"}