Core Functionality
- Carbon Calculator: Users input daily habits (transport, food, energy use) via a guided questionnaire; the app estimates weekly/monthly CO₂e using open emission factor datasets.
- Interactive Dashboard: Real‑time visualizations (line charts, pie slices, heat maps) show emissions by category and over time, with trend lines and comparisons to national averages.
- Goal Setting & Alerts: Users set reduction targets; the app provides personalized tips, sends push notifications when they’re close to exceeding a threshold, and tracks progress toward goals.
- Social Sharing & Challenges: Share monthly reports on social media or within the app community; participate in friendly challenges (e.g., “Bike Week”) to motivate collective action.
Problem It Solves
Many people want to live more sustainably but lack clear, actionable data about their personal impact. Existing tools are either too technical or provide only static reports. EcoTrack bridges this gap by offering an engaging, data‑driven experience that turns abstract emissions numbers into tangible insights and motivation for change.
Technical Requirements
- Front‑end: React Native (cross‑platform mobile), D3.js for dynamic charts.
- Back‑end: Node.js with Express, PostgreSQL to store user data and emission factors.
- Analytics Engine: Python scripts using Pandas & NumPy for batch calculations; REST API exposes results.
- Cloud: AWS (S3 for assets, RDS for DB, Lambda for serverless functions).
- Push Notifications: Firebase Cloud Messaging or Apple Push Notification Service.
Monetization Strategy
- Freemium Model: Basic calculator and dashboard are free; premium tier unlocks advanced analytics (e.g., scenario modeling), custom reporting, and ad‑free experience.
- Affiliate Partnerships: Recommend eco‑friendly products or services (bike shops, solar installers) with referral links that earn a commission on sales.
- Corporate Wellness Packages: Offer bulk subscriptions to companies aiming to reduce employee carbon footprints, including analytics dashboards for HR departments.
Implementation Approach
- Phase 1 – MVP (Months 0‑2): Build core calculator, basic dashboard, and user authentication. Deploy on AWS Elastic Beanstalk.
- Phase 2 – Analytics & Visuals (Months 3‑4): Integrate D3.js charts, implement goal setting logic, add push notification service.
- Phase 3 – Social & Partnerships (Month 5): Add sharing features, set up affiliate tracking system.
- Phase 4 – Monetization & Scaling (Months 6‑7): Launch premium subscription flow via Stripe, optimize database indexing for scalability.
- Ongoing: Collect user feedback, iterate UI, and expand dataset coverage.
Potential Challenges
- Data Accuracy: Users may input incomplete or incorrect data, skewing calculations. Solution: Provide guided prompts, default values, and validation checks; allow users to import smart‑meter data where possible.
- User Engagement: Sustaining daily use can be hard. Solution: Gamify progress (badges, streaks), send timely reminders, and integrate community challenges to maintain motivation.
Future Expansion
- Integrate IoT device data (smart thermostats, smart plugs) for automatic emission tracking.
- Expand to household-level dashboards, allowing families to see combined footprints.
- Introduce AI‑driven recommendation engine that suggests personalized lifestyle changes with higher impact scores.
- Offer API access for third‑party developers to build complementary sustainability tools.