# NEON

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Berry Sugandh Surya](https://cerebralvalley.ai/u/BerryMS)
- **GitHub:** https://github.com/Berry1924/-das-scenario-pilot
- **Demo video:** https://drive.google.com/drive/folders/16CGyd4fc8hcTrX4E24KfJtbYoEiY_EFE?usp=sharing
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5143

# DAS Scenario Pilot 
 Project Description:

DAS Scenario Pilot is an experimental V2V/V2X communication and safety-analysis platform designed to investigate how connected vehicles can exchange important hazard and vehicle-state information reliably under changing traffic and communication conditions.

The project addresses an important engineering challenge: vehicle communication systems must balance message delivery, communication efficiency, network congestion and emergency-message priority. DAS Scenario Pilot combines a reproducible scenario simulation environment with a two-node ESP32 hardware prototype to investigate these trade-offs.

The software platform models vehicle nodes, packet construction and integrity, wireless-channel behavior, priority-aware communication, hazard events, timing and vehicle-safety scenarios. Repeatable experiments compare baseline and DAAS communication strategies using metrics such as packet delivery ratio, message rate, latency and communication behavior under different traffic conditions. Controlled ablation experiments help distinguish the effects of adaptive messaging and emergency-message isolation.

The physical prototype uses two ESP32 modules. The transmitter node integrates an ultrasonic distance sensor, while the receiver node provides OLED and LED alert outputs. The diagnostic communication firmware uses a compact 32-byte packet format, CRC16-CCITT integrity checking and sequence tracking. Its diagnostic path also implements application-level acknowledgements to distinguish actual receiver acceptance from a radio-level send result.

Meta Muse Spark, accessed through the Meta Model API, provides an additional post-experiment advisory analysis layer. It helps interpret structured simulation results while keeping the underlying measurements and communication decisions deterministic.

The project is being developed as an open-source research and prototyping platform. Its objective is to make V2V/V2X communication experiments more reproducible, measurable and accessible, while providing a foundation for future intelligent transportation and cooperative vehicle-safety research.

The current ESP32 diagnostic firmware has been flashed to both prototype modules. Complete physical sensor-to-radio-to-ACK-to-display validation remains a separate hardware verification milestone. This is an experimental bench prototype, not a road-certified vehicle safety system.
to reduce the human made accident and make the safe travel is our moto

## More from Meta Global AI Developer Hackathon

- [Paparazzi](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5140)
- [MERLIN home assistant](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5141)
- [Clipboard History](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5142)
- [Proof to Publish](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5144)
- [Centurion](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5145)
- [Alberto Castro](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5146)

---

Markdown version of https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/5143. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt