Bhushan Naik

Overview

Urja Shakti is a satellite imagery-enabled rooftop solar aggregation platform designed to accelerate decentralized solar adoption under PM Surya Ghar Yojana. The platform connects homeowners with verified solar installation partners through AI-assisted rooftop assessment, subsidy integration, financial estimation and vendor aggregation.

Business Problem

Residential rooftop solar adoption remains fragmented due to limited awareness, complex vendor discovery, inconsistent quotations and the absence of personalized feasibility assessments. Homeowners often struggle to identify trusted vendors and understand government incentives.

Solution

The platform enables homeowners to select their rooftop using satellite imagery, enter electricity consumption details and receive a customized rooftop solar assessment including system sizing, estimated generation, financial savings, subsidy eligibility and vendor quotations. Local vendors receive standardized assessments, reducing sales effort while improving customer confidence.

Key Features

• Satellite Imagery Assessment
• Custom Rooftop Analysis
• Vendor Aggregation Marketplace
• PM Surya Ghar Subsidy Integration
• Financial Savings Estimator
• AI Chat Assistant
• Annual Maintenance Planning
• Multilingual Support

Impact

• Winner — Smart India Hackathon 2024
• 3 Memorandums of Understanding signed with local solar vendors across Vasai–Virar for pilot testing and R&D
• Supports local solar ecosystem through standardized customer acquisition
• Promotes decentralized renewable energy adoption aligned with national sustainability objectives

Overview

Arogya Kavach is a predictive public health intelligence platform that integrates IDSP surveillance data, IMD weather intelligence and Google Trends to forecast district-level disease outbreaks while supporting hospitals, policymakers and frontline healthcare workers through preparedness dashboards.

Business Problem

Current disease surveillance remains reactive, limiting preparedness for hospitals and public health authorities while creating reporting gaps for frontline healthcare workers.

Solution

The platform analyses historical disease bulletins, climate intelligence and epidemiological trends to generate weekly forecasts for water-borne, vector-borne and air-borne diseases. It additionally supports hospital resource planning, OPD/IPD preparedness, offline-first ASHA reporting and WhatsApp-enabled submissions.

Key Features

• District Health Dashboards
• Disease Forecasting
• Hospital Preparedness
• Inventory Planning
• Offline-first ASHA PWA
• WhatsApp Reporting
• Public Policy Dashboard
• Explainable AI Forecasts

Impact

• Developed for Smart India Hackathon 2025
• Final Year B.E. Project
• Designed in consultation with senior clinicians and practicing doctors
• Supports preventive public health decision-making

Overview

This research presents multiple low-cost driver drowsiness detection systems designed for two-wheelers, passenger vehicles and commercial transport, using embedded IoT sensing technologies to improve road safety and accident prevention.

Business Problem

Driver fatigue remains a significant contributor to road accidents across vehicle categories, with limited low-cost, vehicle-agnostic detection systems available for widespread deployment.

Solution

The research proposes multiple embedded IoT-based detection architectures tailored to two-wheelers, passenger vehicles and commercial transport, using low-cost sensing hardware to identify drowsiness indicators and trigger timely alerts.

Key Features

• Embedded IoT Sensing
• Multi-Vehicle-Type Architecture
• Low-Cost Hardware Design
• Real-Time Alert Mechanism

Impact

• Published in IEEE Xplore, 17 April 2025
• Addresses road safety across diverse vehicle categories
• Demonstrates low-cost, scalable embedded design approach