# Pravāh

- **Event:** [OpenAI GPT-5 Startup Hackathon](https://cerebralvalley.ai/e/gpt5)
- **When:** Aug 9 at 10:00 AM – Aug 10 at 5:00 PM (PDT)
- **Where:** Location TBA
- **Placement:** 2nd Place
- **Team:** [Mohak Mangal](https://cerebralvalley.ai/u/mohakmangal), [Dhruv Suri](https://cerebralvalley.ai/u/Dhruvsuri)
- **GitHub:** https://github.com/pravah-hq/pravah-open-ai-hackathon
- **Demo video:** https://www.loom.com/share/1bcad8e9b8b745749324e9a19852f420?sid=a16882db-abbb-45e6-9fff-ea499ecaec7c
- **Gallery:** https://cerebralvalley.ai/e/gpt5/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/gpt5/hackathon/gallery/50

Electric grid operators are overwhelmed with the data needed to manage complex grid operations, including weather, state-space estimation, network congestion, bidirectional electricity flow, DER coordination, and asset failures.

We developed an agentic grid orchestration framework that enables operators to utilise GPT-5 with multimodal data inputs within a power-flow solver, incorporating fail-safe contingencies. We built five agents - each with their own objective function, such as asset health monitoring, reliability, safety, power purchase cost reduction, etc., to operate an optimal system under physical constraints.

We struggled to fine-tune the agents, so actions defaulted to conservative choices, and we were unable to connect the refined front end to our backend fully.

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Markdown version of https://cerebralvalley.ai/e/gpt5/hackathon/gallery/50. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt