SkillSwap AI 🌐 is an AI-powered peer-to-peer platform that connects learners and teachers to exchange skills. Using generative AI and autonomous agents 🤖, SkillSwap AI matches users based on their teaching and learning needs, enabling easy scheduling 📅 and personalized learning support 🎯. The Problem: Many people face barriers like expensive courses 💸, lack of guidance ❌, and difficulty finding the right instructors 🧑‍🏫. Skilled individuals often lack platforms to share their knowledge effectively 🧠. The Solution: SkillSwap AI provides a platform where users can: List skills to teach or learn 📚 Get AI-matched with others 🤝 Use a barter system 🔄 for skill exchange Schedule live or async sessions ⏰ Access AI tools like smart suggestions and chatbots 💬 Core Features: User Profiles: Share skills, levels, and availability 📋 Skill Matching: AI connects users based on compatibility 🔍 Barter System: Earn and spend points 💰 Scheduling: Book sessions with reminders and timezone support 🕰️ Communication: Real-time messaging and AI conversation starters 💬 Feedback & Ratings: 5-star ratings 🌟, badges 🏅, and moderation tools 🛡️ Resource Hub: Share materials and upvote content 📑 AI-Powered Learning: Personalized suggestions, nudges, and progress tracking 🎓 Post-Hackathon Vision: Group learning circles 🧑‍🤝‍🧑 and mini-courses 🎓 Multilingual support 🌍 and AI translation 🌐 Admin tools for analytics 📊 and moderation 🛠️ SkillSwap AI creates a flexible, community-driven platform for mutual skill development 💡.

Auto-DevOps Agent is an AI-powered automation system designed to simplify and accelerate the setup of CI/CD pipelines for developers. Built for hackathons and real-world projects alike, it leverages a multi-agent architecture where each agent performs a specific DevOps task—detecting the tech stack, generating test/build/deploy steps, and combining them into a valid GitHub Actions YAML workflow. It also provides easy-to-understand explanations for each CI/CD step, enabling developers to learn while automating. The system supports various project types such as Python, Node.js, and Java, and is designed to eliminate the manual, error-prone work often required when configuring CI/CD tools. The agents communicate using structured prompts and are powered by LLMs via the Groq-hosted OpenAI SDK using the LLaMA 3.1-8B model. The full stack includes: Frontend: React.js (for user interaction and input handling) Backend: FastAPI (serving the AI agents and managing request logic) Agents: AI multi-agent system using prompt engineering and OpenAI SDK CI/CD Output: GitHub Actions YAML configuration Optional Extensions: Docker, GitHub Secrets, and platform deployment integrations The current version generates test, build, and deploy pipeline steps. Future enhancements will include direct deployment to platforms like Railway, Streamlit, Vercel, and Render, along with automated GitHub secret management and full repository initialization. This makes Auto-DevOps Agent an ideal solution for developers, students, and teams aiming to streamline DevOps without needing deep YAML or DevOps knowledge.