ZHarvett/TenderLens

Agentic multimodal tender compliance copilot for South African SMEs — built with Amazon Nova on AWS Bedrock. #AmazonNova # TenderLens Agentic multimodal tender compliance copilot for South African SMEs. Built with **Amazon Nova** on AWS Bedrock for the Amazon Nova AI Hackathon 2026. **Problem:** South African SMEs spend days manually cross-referencing tender requirements against their company documents, often missing requirements and losing bids. **Solution:** TenderLens ingests a tender RFP and evidence documents, uses Amazon Nova to extract every mandatory returnable, match evidence via multimodal embeddings, and produce a compliance matrix — in minutes, not days. ## Demo ```bash # One command to start everything ./scripts/run_demo.sh ``` Then open **http://localhost:5173**, upload the sample tender and evidence, and watch TenderLens analyse compliance in real time. See scripts/demo_walkthrough.md for step-by-step instructions. ## Quick Start ### Backend ```bash cd backend pip install -e ".[dev]" pytest tests/ -v # 52 tests uvicorn app.main:app --reload --port 8000 ``` ### Frontend ```bash cd frontend npm install --legacy-peer-deps npm run dev # localhost ``` ### Generate Sample Data ```bash python scripts/generate_sample_data.py ``` ### Integration Test (requires running backend + real Bedrock) ```bash ./scripts/integration_test.sh ``` ## How It Works 1. **Ingest** — Upload tender PDF and evidence documents (PDF, PNG, JPG) 2. **Extract** — Amazon Nova 2 Lite extracts mandatory returnables from the tender via Converse API 3. **Embed** — Amazon Nova Multimodal Embeddings vectorizes all document pages (text + images, 1024-dim) 4. **Search** — For each requirement, find matching evidence via cosine similarity 5. **Decide** — Amazon Nova 2 Lite evaluates whether each requirement is complete, missing, or unclear 6. **Export** — Generate a compliance matrix (JSON), CSV checklist, and per-requirement evidence folders as a downloadable ZIP ## Architecture | Component | Technology | |-----------|-----------| | **Reasoning** | Amazon Nova …