AutoResearch AI
Link to open source: https://github.com/shresthbhargava/autoresearch-ai
Link to Live Project: https://autoresearch-emi1zjhkd-shresthbhargavas-projects.vercel.app/
AutoResearch AI is an autonomous multi-agent system that transforms
fragmented startup inputs — scattered notes, PDFs, screenshots, and
meeting transcripts — into a professional, investor-ready Business
Requirements Document (BRD) in under 60 seconds.
The system addresses Problem Statement #21: building a scalable,
multi-modal AI system using Google Gemini AI and Google Cloud tools
that processes real-time fragmented data and generates accurate,
context-aware, explainable decisions.
HOW IT WORKS:
4 AI agents run autonomously in a LangGraph pipeline:
1. Research Agent — Extracts structured insights from all inputs
2. Market Analysis Agent — Benchmarks competitors and sizes the market
3. BRD Agent — Writes the full professional document with citations
4. Architect Agent — Generates a Google Cloud system design blueprint
Every claim in the output is source-cited, making the AI fully
explainable and auditable.
KEY FEATURES:
- Multimodal input — PDFs, images, text, voice transcripts
- Auto-generated SWOT analysis and competitor benchmarking
- Feature matrix with P0/P1/P2 prioritization
- Pricing strategy and go-to-market recommendations
- BigQuery audit trail for enterprise-grade compliance
- Real-time agent progress streaming via SSE
- Export to PDF
GOOGLE CLOUD INTEGRATION:
- Gemini 1.5 Pro — Core reasoning and multimodal understanding
- Vertex AI — Production model deployment and pipelines
- BigQuery — Session audit logging and explainability metadata
- Cloud Storage — Multimodal file ingestion
IMPACT:
Founders currently spend 40+ hours and ₹1,00,000 on consultants
to produce a BRD. AutoResearch AI delivers the same output in
60 seconds, democratizing access to professional product strategy
for early-stage startups — especially in Tier-2 and Tier-3 cities.
LIVE DEMO:
Frontend: autoresearch-emi1zjhkd-shresthbhargavas-projects.vercel.app
Backend: shresth0-autoresearch-ai.hf.space/docs
TECH STACK:
Google Gemini 1.5 Pro · Vertex AI · BigQuery · Cloud Storage ·
LangGraph · LangChain · FastAPI · Next.js 14 · TypeScript ·
Tailwind CSS · Docker · Hugging Face Spaces · Vercel
Built by Team Vertex — Shresth Bhargava & Pranav Shyam Nair
Hack Days Delhi · Major League Hacking · PS21
This build was uploaded as a hackathon project






