# VOID

- **Event:** [RAISE Summit Hackathon](https://cerebralvalley.ai/e/raise-summit-hackathon)
- **When:** Jul 4 at 9:00 AM – Jul 5 at 7:00 PM (GMT+2)
- **Where:** Paris, France
- **Team:** [Prem Santh](https://cerebralvalley.ai/u/_premliorate_), [Mohan Surendra](https://cerebralvalley.ai/u/Mohan_21), [Bhanu Vilasith Reddy chilka](https://cerebralvalley.ai/u/Vilasith_c), [Rohith S](https://cerebralvalley.ai/u/notrohith_)
- **GitHub:** https://github.com/MOHAN2416/RAISE-HACKATHON
- **Demo video:** https://www.youtube.com/watch?v=p56yBt7uJk0
- **Gallery:** https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/2

ApexLiquidity | Corporate Treasury Risk Agent
ApexLiquidity is an autonomous, AI-driven corporate treasury optimization platform. It continuously monitors corporate banking nodes, enforces safety baselines and concentration risk limits, and autonomously proposes or executes capital sweeps into high-yield vehicles to maximize treasury efficiency.

ApexLiquidity Dashboard Demo

🌟 Key Features
Real-time LLM Optimization Engine: Powered by llama-3.3-70b-versatile via the Groq API. The agent can dynamically execute tools, check balances, and calculate yields.
Interactive Treasury Dashboard: A sleek, cyberpunk-inspired dark mode terminal UI built with Next.js and Tailwind CSS.
Dynamic Scenarios: Live-edit your corporate checking and savings balances in the UI to instantly see how the AI agent adjusts its sweeping strategy.
Autonomous Rule Enforcement: Hardcoded policy prompts ensure the agent maintains a strict $1.5M safety runway across operating checking accounts and adheres to a 40% single-product concentration limit.
Voice Synthesis Reporting: Integrates with Gradium AI's TTS endpoint to deliver a synthesized auditory briefing of the agent's actions at the end of each run.
Streaming ndjson Architecture: The agent's thought process and tool execution logs are streamed chunk-by-chunk in real time to the frontend terminal.
🛠️ Tech Stack
Framework: Next.js 16 (App Router & API Routes)
Bundler: Turbopack
Styling: Tailwind CSS v3 + PostCSS
AI Provider (LLM): Groq (Llama 3.3 70B)
AI Provider (Voice): Gradium AI TTS API
Icons: Lucide React
Charts: Recharts
🚀 Getting Started
1. Clone the repository
git clone https://github.com/MOHAN2416/RAISE-HACKATHON.git
cd RAISE-HACKATHON
2. Install dependencies
npm install
3. Set up environment variables
Create a .env file in the root directory and add your API keys:

GROQ_API_KEY=your_groq_api_key_here
GRADIUM_API_KEY=your_gradium_api_key_here
4. Run the development server
npm run dev
Open http://localhost:3000 in your browser to interact with the ApexLiquidity dashboard.

🧠 How the Agent Works
When you click "Engage Nexus Sweep":

The frontend packages the exact balances from your UI and POSTs them to /api/agent.
The Agent connects to Groq with access to three internal tools: get_balances, calculate_surplus, and execute_sweep.
It evaluates the balances against the hardcoded prompt rules (maintaining $1.5M in checking).
If a surplus exists, it sweeps the excess into the Vultr Secure Yield Engine (5.42% APY).
The frontend streams the execution log live into the Terminal UI.
Once complete, a 2-sentence summary is passed to Gradium AI to generate and play an audio report.

## More from RAISE Summit Hackathon

- [Taste Engine](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/1)
- [SKAI](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/3)
- [Ouday Benabid](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/4)
- [Helius](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/5)
- [Solo](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/137)
- [Ryan Nishikawa](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/138)

---

Markdown version of https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/2. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt