GreenPath

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Inspiration

Climate change hits vulnerable communities hardest, yet they're excluded from the green economy. We saw marginalized youth lacking both green skills training and pathways to climate jobs. GreenPath bridges this gap—turning climate action into economic opportunity while reducing inequality.

What it does

GreenPath is an AI-powered platform that:

Provides free micro-learning modules on green skills (tree plantation, solar maintenance, water conservation)
Uses AI to match users with paid climate micro-tasks in their communities
Tracks real impact: jobs completed, income earned, trees planted, CO2 offset
Integrates ASDI climate data to prioritize urgent environmental needs

How we built it

Tech Stack:

Frontend: React.js + Tailwind CSS
Backend: Node.js + Express + Supabase
AI/ML: Python + GROQ API

AI Components:

Smart Job Matching: Combines user skills, location, climate risk to recommend personalized jobs
Climate Risk Scoring: ML model using ASDI datasets to prioritize high-urgency areas
NLP Skill Extraction: Automatically matches user qualifications to job requirements

Data Sources:

NOAA GHCN (climate risk assessment)

Challenges we ran into

Dataset Integration: ASDI datasets have varying formats—we built flexible parsers and focused on well-documented sources
AI Cold Start Problem: New users have no history—we use location and stated skills for initial recommendations
Real-Time Performance: Optimizing ML pipeline to generate recommendations
Time Constraints: Balancing ambitious AI features with hackathon timeline—prioritized core matching algorithm first

Accomplishments that we're proud of

Built a working AI recommendation engine that combines climate data with user profiles
Created an intuitive platform addressing both SDG 10 (Reduced Inequalities) and SDG 13 (Climate Action)
Designed a scalable system that can generate real social and environmental impact

What we learned

Climate datasets are rich but require careful preprocessing and domain knowledge
AI for social good must balance technical sophistication with accessibility
The best solutions tackle multiple problems simultaneously (climate + inequality + education)

What's next for GreenPath

Immediate:

Pilot with 2-3 NGOs in climate-vulnerable regions
Mobile app development (Android/iOS)
Real payment integration (Stripe, mobile money)

Advanced Features:

Computer vision for automatic task verification (photo analysis)
Gamification with badges and leaderboards

Long-term Vision:

Scale to 50+ countries, focusing on climate-affected regions
Partner with governments and international organizations (UNDP, World Bank)
Build the "LinkedIn of the Green Economy"—the global platform for climate jobs and skills