# Spark Seekers

- **Event:** [Google DeepMind Bangalore Hackathon](https://cerebralvalley.ai/e/google-deepmind-bangalore-hackathon)
- **When:** Sat, Jul 11 at 9:00 AM – 10:00 PM (GMT+5:30)
- **Where:** Marathahalli, Marathahalli Main Road
- **Team:** [Theja sri K](https://cerebralvalley.ai/u/thejasrik)
- **GitHub:** https://github.com/thejasrikanagala21-ops/kisansetu-iapi
- **Demo video:** https://drive.google.com/file/d/1Ab-LNzFtl9EwRWthFCETNdOk95JdbIWj/view?usp=sharing
- **Gallery:** https://cerebralvalley.ai/e/google-deepmind-bangalore-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/google-deepmind-bangalore-hackathon/hackathon/gallery/13

Project Title: KisanSetu Logistics Routing System
Problem Statement
Regional agricultural supply chains often face critical infrastructure disruptions—such as flooding, road closures, or equipment failure—that lead to significant post-harvest losses. Current manual dispatch systems lack the agility to dynamically reroute assets or reallocate inventory in real-time, resulting in wasted produce and inefficient market distribution.

Solution
KisanSetu is an autonomous, agentic logistics control platform designed for the Indian agricultural market. Built with a core iAPI engine, the system ingests multi-language IVR voice logs and raw operational data to provide:

Dynamic Incident Resolution: Automatically parses driver reports to identify infrastructure failures and immediate reallocation needs.

Agentic Recovery Loop: Utilizes an autonomous Gemini-powered execution loop to calculate optimal rerouting or offloading strategies based on real-time database state.

Strict Operational Constraints: Enforces database integrity through programmatic verification, ensuring that all logistics decisions (e.g., target truck capacity, mandi storage limits) remain within safe, operational bounds.

Key Features
Intelligent Translation: A rule-based patch layer that bridges regional language phonetics (Hindi) with system-standardized English telemetry.

Compliance & Audit Trail: Tracks every mitigation, validation event, and capacity change, providing a downloadable CSV audit manifest for administrative transparency.

Real-time Analytics: Visualizes supply chain performance through interactive charts, monitoring disruptions and regional capacity utilization rates.

Impact
KisanSetu reduces the latency between a field-level disruption and an automated logistics response. By minimizing human intervention in high-pressure scenarios, the system maximizes the preservation of perishable commodities and ensures efficient, data-driven distribution across regional market hubs.

---

Markdown version of https://cerebralvalley.ai/e/google-deepmind-bangalore-hackathon/hackathon/gallery/13. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt
