DevVerse

During the hackathon, our team successfully transformed DevVerse from a conceptual idea into a functional AI-powered prototype. We began by identifying the key bottleneck in traditional software development workflows — manual processing of RFPs. From there, we designed the overall system architecture, broke down responsibilities across agents, and implemented a working pipeline that integrates: 🔹 RFP vectorization using sentence embeddings 🔹 Retrieval from ChromaDB for format templates 🔹 Orchestrated prompts using CrewAI agents 🔹 Output generation through the Gemini-1.5-flash LLM 🔹 A Streamlit-based frontend for user interaction and results display Over the hackathon period, we developed and tested multiple real-world RFP scenarios (e.g., e-commerce), refined agent collaboration, and ensured seamless input-to-output flow. We also added a chatbot-style assistant for status updates and improved usability. Despite the short timeframe, we were able to build a robust, scalable, and modular version of DevVerse — showcasing our ability to solve a real-world automation problem using cutting-edge GenAI.

Not currently fundraising