Spark Seekers

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.

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