Our project is an AI-driven startup copilot designed to help early-stage founders go from idea to investor-ready with minimal friction. The user begins by entering their startup idea. The system performs automated market research using Retrieval-Augmented Generation (RAG) techniques that gather insights from sources like Google Search, Crunchbase, Reddit, and other public platforms. It analyzes the market landscape, identifies existing competitors, highlights potential gaps, and suggests unique value propositions. Once the idea is validated, the app uses large language models (LLMs) to generate a concise business plan, including a mini pitch deck covering problem, solution, target market, and monetization strategy. The outputs are downloadable as PDF or PPT formats. The MVP Builder Assistant then helps the founder shape the technical foundation of their product. It suggests the tech stack, auto-generates user stories, drafts database schemas, and outlines a feature roadmap to accelerate development. Finally, the Funding Advisor module recommends relevant VCs, accelerators, and angel investors using live data scraping and RAG techniques. It even drafts personalized outreach emails to help the founder secure funding more effectively. This all-in-one platform is ideal for solo founders, student entrepreneurs, and first-time startup builders who need structured guidance and speed without hiring a full team.
15 Jun 2025
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