| --- |
| title: AndesOps AI |
| emoji: 🧠 |
| colorFrom: red |
| colorTo: gray |
| sdk: docker |
| pinned: false |
| app_port: 7860 |
| --- |
| |
| # AndesOps AI: Agentic Tender Intelligence |
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| [](https://www.amd.com/en/developer/resources/ai-developer.html) |
| [](https://rocm.docs.amd.com/) |
| [](https://nextjs.org/) |
| [](https://fastapi.tiangolo.com/) |
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| **AndesOps AI** is a state-of-the-art business intelligence platform designed to transform the complex landscape of public procurement in Chile (Mercado Público) into actionable strategic advantages. Built for the **AMD Developer Hackathon**, it leverages a sophisticated **Agentic Multi-Agent System** to analyze technical and administrative bases with unprecedented speed and precision. |
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| ## 🚀 The Challenge |
| Public bidding processes are notoriously document-heavy, requiring legal, technical, and strategic expertise to evaluate a single opportunity. Companies often miss deadlines or overlook critical risks buried in 100+ page PDFs. |
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| ## 🧠 The Agentic Solution: "The Virtual Board of Experts" |
| AndesOps AI moves beyond simple chatbots. It deploys a **coordinated panel of AI agents** that work in parallel to evaluate every tender: |
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| - ⚖️ **Legal & Compliance Agent**: Scans for administrative hurdles, critical deadlines, and compliance gaps. |
| - 🏗️ **Technical Architect Agent**: Maps tender requirements to the company’s specific tech stack and experience. |
| - 📊 **Strategy & ROI Agent**: Analyzes competition, calculates potential ROI, and defines a "Winning Strategy". |
| - 🧠 **The Orchestrator**: Consolidates agent reports into a final **Strategic Fit Score** and an executive summary. |
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| ## 🛠️ Architecture & AMD Integration |
| AndesOps AI is engineered to scale using high-performance compute: |
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| - **Hardware Acceleration**: Optimized to run on **AMD Instinct™ MI300X GPUs** via the **AMD Developer Cloud**. |
| - **Software Stack**: Built on **ROCm™** for high-throughput inference, allowing simultaneous processing of multiple massive tender documents without bottlenecks. |
| - **Backend**: **FastAPI** with asynchronous task execution for parallel agent processing. |
| - **Frontend**: **Next.js 14** with a premium, enterprise-ready UI/UX. |
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| ### **System Workflow** |
| ```mermaid |
| graph TD |
| A[Mercado Público API / Sync] --> B[(SQL Database)] |
| B --> C[Tender Dashboard] |
| C --> D{Agentic Analysis Engine} |
| D --> E[Legal Agent] |
| D --> F[Technical Agent] |
| D --> G[Strategy Agent] |
| E & F & G --> H[Orchestrator] |
| H --> I[Strategic Report & Proposal] |
| ``` |
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| --- |
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| ## 💻 Setup & Installation |
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| ### **Prerequisites** |
| - Python 3.10+ |
| - Node.js 18+ |
| - AMD ROCm (Optional for local acceleration) |
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| ### **Backend Setup** |
| ```powershell |
| cd backend |
| python -m venv .venv |
| .\.venv\Scripts\Activate.ps1 |
| pip install -r requirements.txt |
| uvicorn app.main:app --reload --port 8000 |
| ``` |
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| ### **Frontend Setup** |
| ```powershell |
| cd frontend |
| npm install |
| npm run dev |
| ``` |
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| ### **Environment Variables** |
| Copy `.env.example` to `.env` and configure: |
| - `GEMINI_API_KEY`: For LLM orchestration (or your AMD local endpoint). |
| - `MERCADO_PUBLICO_TICKET`: For real-time tender syncing. |
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| --- |
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| ## 📈 Business Value |
| - **Efficiency**: Reduce manual analysis time by over 90%. |
| - **Risk Mitigation**: Early detection of legal traps and technical gaps. |
| - **Competitiveness**: Generate high-quality proposal drafts aligned with specific tender scoring criteria. |
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| ## 📄 License |
| MIT License - Developed for the **AMD Developer Hackathon 2026** with ❤️ by the AndesOps Team, powered by [REW](https://www.rew.cl). |
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