The Metro Store AI Assistant is a Flask-based web application designed to enhance the online shopping experience through AI-driven interactions. Powered by the Groq API, it offers natural, friendly conversations, personalized product recommendations, and seamless order processing. Key features include a robust product search, shopping cart management, email order confirmations, and an analytics dashboard for insights into product categories, brands, and pricing trends. Built with Python, Pandas, and Plotly, it integrates a CSV-based product database and supports user sessions for a tailored, engaging shopping journey.

The AI-Powered Disaster Response System scans social media in real-time using DeepSeek AI/ML to detect disaster alerts & categorize theem into 3 categories based on severity level Smart Chatbot with DeepSeek RAG answers emergency queries using past disaster reports & safety guidelines which uses embeddings and vector database Voice Recognition enables non-English speakers to get real-time support. Emergency Alerts & Preparedness Guides ensure quick & informed action and provide links to youtube videos. It provides guidelines, psychological support and preaparedness checklist. We are working on integrating live location, IoT device integration and decentralized communication network

The development of a Prompt Scoring Engine aims to enhance the output quality of Large Language Models (LLMs) and improve user experience. This engine evaluates and scores prompts based on various criteria to optimize the responses generated by LLMs. The implementation of this technology addresses key issues related to the effectiveness of AI models, the clarity of project presentations, business value, and originality. The project began with an extensive research phase, focusing on methods to evaluate prompts and develop criteria for their assessment. A rubric was created to score prompts from 1 (worst) to 7 (best). Following this, a configuration file for a custom GPT model was developed, which utilized the rubric to evaluate prompts and their inputs. This configuration provided a structured approach to identify areas for improvement and generate requirements for enhancing prompt quality. The core implementation involved creating a scoring engine that interacts with users by prompting them to input their original prompts and resulting outputs. The engine evaluates these inputs, scores them based on the established rubric, and suggests improvements. Users are then given the opportunity to try the new, optimized prompts and evaluate the results, creating a continuous feedback loop that refines the prompt quality over time. The Prompt Scoring Engine offers significant benefits, including enhanced output quality through advanced natural language processing techniques, improved user experience with more relevant and coherent responses, and a transparent, objective evaluation framework. Additionally, it serves as an educational tool, helping users understand and craft better prompts. This strategic initiative not only addresses critical issues in AI model effectiveness but also drives innovation and growth in the AI market by ensuring high-quality, original, and clear outputs.

🔧 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 noteworthy apps with advanced reasoning across audio, vision, and text in real time with GPT-4o. 🕒 72 hours to complete the challenge 💡 Create revolutionary apps which use GPT-4o advanced features 🤝 Take part alone or form a team with other participants 🚀 Engage in a 3-day virtual development marathon and network with tech and business leaders 🏆 Win opportunity to participate in LabLab NEXT acceleration program