Go Green or Cry

The front-end with the map and sustainability scores
Recommendations

Inspiration

Sustainability is a growing concern, and we wanted to create an interactive way for individuals and organizations to assess the environmental impact of their construction plans. By leveraging AI and real-time data, we aim to help users make informed decisions about their projects, reducing their carbon footprint and promoting eco-friendly development. Plus, we wanted to make sustainability cool and relatable for Gen-Z—because saving the planet should boost your aura, not just your conscience.

What it does

Our platform allows users to drop a pin on a map, generating a sustainability score based on various environmental, economic, and social factors. Users can then input their construction plans in a text box, detailing what they want to build at that location. Using an LLM (Gemini), the system analyzes the impact of the proposed project and updates the sustainability score in real time, providing recommendations for improvement. Your aura points increase when you make eco-friendly choices—because being green is the ultimate flex.

How we built it

We built the platform using:

Frontend: Next.js with interactive map integration
Backend: Flask to handle API requests
AI Integration: Gemini AI for processing user input and dynamically updating the sustainability score
Data Sources: AQI, carbon footprint metrics, and other environmental factors
Real-time Updates: WebSockets for seamless user experience

Challenges we ran into

Data Accuracy: Ensuring reliable environmental impact predictions required integrating multiple datasets.
AI Fine-tuning: Crafting effective prompts and refining responses for meaningful sustainability assessments.
Real-time Processing: Optimizing API calls to keep response times fast while maintaining accuracy.
Making Sustainability Trendy: Finding a way to make eco-consciousness appealing to Gen-Z without sounding too preachy.

Accomplishments that we're proud of

Successfully implementing real-time sustainability score updates using AI.
Creating an engaging and educational tool that promotes sustainable development.
Integrating environmental data with AI-generated insights to provide actionable recommendations.
Making sustainability scoring fun and gamified with aura points.

What we learned

The importance of structured prompts when using LLMs for decision-making.
How to balance real-time processing with AI computation for seamless UX.
The complexity of sustainability scoring and the various factors influencing environmental impact.
That Gen-Z loves a good challenge—so making eco-conscious choices competitive with aura points keeps users engaged.

What's next for Go Green or Cry

Enhanced AI Analysis: Improve the LLM's ability to break down sustainability scores into more detailed insights.
Expanded Data Sources: Incorporate more environmental indicators for a more comprehensive impact assessment.
Gamification: Introduce a scoring system with rewards to engage users in sustainable decision-making. More aura points = more bragging rights.
Public API: Allow third-party developers to integrate sustainability scoring into their own applications.