Victoria Amarachi UDE@victoria_42

Codemate: Your Coding Companion, Problem Statement: Programming is hard! Even experienced devs get stuck. Traditional resources lack personalized help and timely feedback. Solution: Codemate is an AI-powered chatbot that provides instant, tailored assistance to programmers of all levels. Interactive learning: Ask questions, get explanations, master concepts. Real-time feedback: Get your code checked, fix errors, and learn faster. Personalized guidance: Receive customized recommendations to boost your skills. Debugging help: Troubleshoot errors and get unstuck quickly. 24/7 availability: Codemate is always there to help you code with confidence!

Phase 1: Langflow Workflow Design Create Initial Langflow Workflow: Design the initial workflow diagram, define language selection triggers, and outline actions for initiating AI dialogue. Develop AI Interaction Scripts: Write scripts for the AI to explain basic coding concepts and create interactive visualizations to support these explanations. Integrate AI Feedback Mechanism: Design a feedback system for Llama 3 to analyze user code and develop templates for common errors and improvement suggestions. Phase 2: Llama 3 Integration Prepare Training Data: Compile and preprocess programming tutorials and code examples for training Llama 3. Train Llama 3 Model: Train the Llama 3 model on the prepared dataset and validate its performance, making necessary adjustments. Implement Llama Guard 2: Integrate Llama Guard 2 for code safety and test the system to prevent malicious code injection. Phase 3: Gamification Implementation Design Point System: Define rules for awarding points and implement a point tracking mechanism in the backend. Create Badges and Achievements: Design badges for various achievements and develop backend logic for awarding them. Optional: Leaderboard Implementation: Design a leaderboard interface and implement real-time leaderboard updates. Phase 4: User Interface Development with Streamlit Build User Interface with Streamlit: Design the overall layout using Streamlit and develop front-end components such as text input and buttons. Integrate Langflow and AI Components: Connect the Streamlit frontend with Langflow workflows to ensure smooth interaction between the UI and the AI agent. Implement Interactive Coding Challenges: Create a library of coding challenges for different levels and develop a submission and testing interface in Streamlit.

🔧 Spend 10 days launching your startup! 🚀 Improve your prototype previously developed at hackathons. 🤜 Collaborate with peers or work independently throughout the Hackathon. 🤖 Gain complimentary access to learning resources about Generative AI models, AI Agents, and beyond. 🚀 Explore opportunities with GAIA Startup Accelerator for Hackathon victors. 🌍 Connect and innovate alongside a worldwide AI community!

⌚ Dive into a 48-hour journey of creativity. 🚀 Compete to craft an app supercharged by Llama 3. 🎓 Expert mentors will guide you every step of the way. 🏆 Win an opportunity to participate in the Lablab NEXT acceleration program, exciting cash prizes, credits, and gear from LlamaIndex, Together AI & Zilliz 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!

Create your product using Codestral, Mistral's first-ever open-weight generative AI model for code generation. 🕒 24 hours to complete the challenge. 💡 Implement any idea that uses Codestral at its core. 🤝 Take part alone or form a team with other participants. 🏆 Win an opportunity to participate in LabLab NEXT acceleration program