Climate change is an increasingly urgent global issue, and buildings—residential complexes, academic campuses, and offices—contribute significantly to carbon emissions. HH301 is a smart, technology-driven system designed to help institutions monitor and reduce their environmental impact, maintain a green campus, and actively track and minimize their carbon footprint over time.
A unified web and mobile platform to track and manage environmental parameters across the campus, including:
- Energy usage
- Waste generation
- Transportation patterns
- Water consumption
This centralized approach ensures that all sustainability data is easily accessible and actionable.
Integration with smart sensors and meters allows for accurate, real-time monitoring of:
- Electricity and fuel consumption
- Water usage
- Air quality
- Waste levels
This data enables precise assessment of carbon-emitting activities.
The system computes the institution’s carbon footprint using data from utilities, transportation, and waste systems.
- Enables data-driven sustainability planning
- Helps identify high-impact areas for carbon reduction
A visual dashboard presenting key metrics such as:
- Carbon emissions
- Renewable energy usage
- Recycling statistics
- Sustainability trends (daily, weekly, monthly)
The analytics provide actionable insights to improve green practices.
Intelligent recommendations to reduce environmental impact, including:
- Power-saving tips
- Mobility shifts (carpooling, cycling)
- Optimal resource usage strategies
AI-driven insights help users make informed, eco-friendly decisions.
A participatory module for students and faculty includes:
- Awareness campaigns
- Green behavior challenges
- Eco-scores and leaderboards
- Reward systems for sustainable actions
Encourages active participation and fosters a culture of sustainability.
- Promotes eco-friendly practices across campus
- Reduces carbon footprint through data-driven strategies
- Enhances awareness and engagement among users
- Supports institutional sustainability goals
- Frontend: Web & Mobile (React / Flutter)
- Backend: Node.js / Python
- Database: MongoDB / PostgreSQL
- IoT Integration: Smart sensors and meters
- AI & Analytics: Machine learning algorithms for sustainability recommendations
- Integration with city-wide smart grids for optimized energy usage
- Gamification for campus-wide green challenges
- Predictive modeling for resource consumption and emissions
Topic empowers institutions to embrace sustainability through technology, data, and user engagement, contributing to a greener future.