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Bloom Platform

"The Eye in the Sky for Agricultural Stability."

Our platform is a centralized, AI-driven regional monitoring system designed to bridge the gap between raw field data and high-level policy decisions. Unlike traditional surveying methods which take weeks, Kisan Raksha provides real-time visibility into crop distribution across vast geographical sectors.

Key Features:

• Real-Time Satellite Surveillance: Automatically scans and classifies regional imagery to identify crop types (Wheat, Corn, Sugarcane) with 91%+ accuracy.
• Live Executive Dashboard: Transforms complex pixel data into actionable insights, utilizing dynamic charts to show regional growth percentages instantly.
• Self-Healing Data Pipeline: Features a robust backend that ensures data integrity and continuous availability for decision-makers, even in low-connectivity environments.

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Strategic Market Intelligence

"Preventing Crises Before They Happen."

We move beyond simple observation to provide predictive market intelligence. By analyzing the density of specific crops in a region, our system helps government bodies and agricultural boards maintain market balance.

Solutions:

• Market Saturation Alerts: Identifies if a region is over-producing a specific crop (e.g., Sugarcane), allowing officials to issue advisories preventing price crashes due to oversupply.
• Food Security Monitoring: Detects low-growth zones for essential staples like Wheat, triggering early warnings for potential shortages.
• Resource Allocation: Helps direct water, fertilizer, and subsidies to the sectors that actually contain the targeted crops, eliminating waste.

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Technology Stack

"State-of-the-Art Deep Learning Architecture."

Kisan Raksha is built on a modern, cloud-native stack designed for speed, accuracy, and scalability.

Technical Components:

• Deep Learning Core: Powered by MobileNetV2 with Transfer Learning, optimized for high-speed inference on satellite imagery while maintaining a low computational footprint.
• FastAPI Backend: A high-performance, asynchronous Python server that handles data aggregation and AI prediction requests in milliseconds.
• Smart Data Simulation: Utilizes a "Lazy Loading" architecture to manage large datasets efficiently, ensuring instant dashboard startup and zero latency.
• Cloud Deployment: Hosted on Render, utilizing containerized environments to ensure the system is accessible from any government office, anywhere.

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Get in Touch

"Ready to Deploy?"

Interested in piloting Kisan Raksha for your district or state? Contact our technical team for a demonstration or API access.

Contact Information:

Headquarters: Veer Madho Singh Bhandari Technical University, Department of Computer Science & Engineering.

Project Lead: Niranjan Kandpal

Email: contact@bloom.ai

GitHub: github.com/Niranjan117/AI-Model

Live Status: bloom-w0r1.onrender.com