Transforming fragmented energy systems into unified, efficient, and trustworthy sustainable solutions
Problem Statement 7 – Transform the Future of Rural Commerce
SustainLabs tackles the five critical bottlenecks in renewable energy adoption: fragmentation, inefficiency, lack of trust, reactive maintenance, and disaster vulnerability.
The renewable sector suffers from disconnected systems and data silos that increase operational costs by 40%. Nearly 80% of installations operate below optimal efficiency, wasting 12-27% of potential savings without real-time AI insights. Consumer distrust runs high, with 43% skeptical of green energy claims. Reactive maintenance leads to costly downtime—wind turbine failures average $240,000 per incident.
Our platform unifies renewable energy management with AI-powered insights, blockchain-verified transactions, and predictive maintenance to create resilient, efficient energy systems that accelerate rural economic development through sustainable practices.
Team 1341
- Utsav Gautam
- Vaibhav Dwivedi
- Vaibhav Raj
- Punya Mittal
- Arnav Prabhakar
- We chose this problem because fragmented renewable energy systems limit rural economic development
- We overcame data synchronization challenges using edge computing and Merkle tree verification
- Our breakthrough came when integrating Groq's LPU technology for real-time AI optimization
- Frontend: React, TypeScript, Framer Motion, Recharts
- Backend: Python, Node.js, Express, Socket.IO
- Database: Supabase, MongoDB, TimescaleDB
- AI: TensorFlow, Google Generative AI, Python ML Libraries
- Hosting: AWS, Vercel
Comprehensive monitoring with real-time visualization of energy flows, production statistics, and consumption patterns.
Decentralized energy trading via smart contracts with transparent verification.
Immutable record of disaster events with decentralized alert system for rapid response.
Early detection of environmental anomalies affecting energy infrastructure.
- Demo Video Link: SustainLabs Platform Demo
- Pitch Deck: SustainLabs Pitch Presentation
- ✅ All members of the team completed the mandatory task - Followed at least 2 of our social channels and filled the form
- ✅ All members of the team completed Bonus Task 1 - Sharing of Badges and filled the form (2 points)
- ✅ All members of the team completed Bonus Task 2 - Signing up for Sprint.dev and filled the form (3 points)
- Node.js v18+ / Python 3.10+
- MongoDB database
- Blockchain wallet connections
- Environment variables (see
.env.example)
# Clone the repo
git clone https://github.com/Punyamittal/aws
# Install dependencies
cd aws
npm install
# Configure environment variables
cp .env.example .env
# Edit .env with your configuration
# Start development server
npm run dev# Navigate to backend directory
cd backend
# Install Python dependencies
pip install -r requirements.txt
# Start backend server
python manage.py runserver
- 📈 AI Enhancement: Advanced predictive models for energy optimization
- 🛡️ Security Protocol: Zero-knowledge proof systems for private energy data
- 🌐 Global Expansion: Localization for rural communities worldwide
- 🔋 Storage Integration: Smart battery management with degradation prediction
- 🤖 Autonomous Operation: Self-healing energy grid with minimal human oversight
Challenge: Integrating nine different blockchain technologies with unique data structures and APIs.
Solution: Developed a custom blockchain abstraction layer with dynamic routing system that selects optimal chains based on transaction type.
Challenge: Traditional AI models couldn't process the volume of energy data quickly enough.
Solution: Integrated Groq's LPU technology with a federated learning system that distributes model training across the network.
