EcoTrack

Inspiration

Tracking your carbon footprint shouldn’t feel like a chore, but most platforms make it one—asking for sign-ups before showing any value, throwing vague numbers at you without clear benchmarks, and expecting answers you wouldn’t even know off the top of your head. It’s frustrating, and in the end, it’s easy to give up or forget about it entirely. But in today’s world, where every small action adds up, understanding and actively reducing your footprint is more important than ever. EcoTrack isn’t just about checking your numbers and moving on—it’s about real progress. With guided insights, a chatbot to help you take meaningful action, and events to engage with like-minded people, it turns tracking your footprint into a journey rather than a loop of forgotten data.

What it does

EcoTrack is your all-in-one platform for understanding, managing, and actively reducing your carbon footprint. Unlike other carbon tracking tools that leave you guessing, ask for unnecessary sign-ups, or present data without context, EcoTrack is designed to be intuitive, actionable, and engaging.

At its core, EcoTrack helps you calculate your carbon emissions based on your daily activities—whether it's commuting, energy usage, or lifestyle choices. Using real-time data and analytics, it not only gives you a clear picture of your impact but also provides meaningful benchmarks so you know what’s considered good, average, or high. No more looking at random numbers with no idea what they mean.

Beyond just tracking, EcoTrack helps you take action. A built-in chatbot acts as your personal sustainability assistant, offering insights based on what similar users are doing, best practices for reducing emissions, and personalized tips to help you make tangible progress. You can also join community-driven events focused on sustainable living, from local clean-up drives to online challenges that promote greener habits.

Most importantly, EcoTrack is about long-term impact. Instead of checking your footprint once and forgetting about it, the platform encourages continuous engagement with progress tracking, goal setting, and reminders to ensure you stay on track. It’s not just about seeing your numbers—it’s about actively lowering them.

How we built it

Building EcoTrack required a seamless integration of various technologies to ensure efficiency, accuracy, and a user-friendly experience. The frontend was developed using Next.js, chosen for its fast rendering, component-based architecture, and smooth navigation. This allowed us to create an intuitive interface where users can easily track their carbon footprint, visualize progress through graphs, and interact with different features.

For the backend, we utilized Firebase, providing a scalable and real-time database solution. Firebase was chosen for its compatibility and ease of integration with Next.js, ensuring that user data, including monthly carbon footprint logs and ride schedules, could be securely stored and retrieved with minimal latency.

The chatbot, a key feature of EcoTrack, was built using Chatbase, leveraging OpenAI 4o mini to provide intelligent, context-aware responses. We trained the chatbot on sustainability data tailored to different economic backgrounds, ensuring that users receive personalized, practical advice on reducing their carbon footprint.

To enable ride scheduling and emission calculations, we integrated the Google Maps API. This allows users to input start and end locations, choose their mode of transportation, and get an estimated carbon footprint for their journey. By combining these technologies, EcoTrack not only helps users track their emissions but also empowers them to take actionable steps toward sustainability.

Challenges we ran into

One of the biggest hurdles was feeding relevant data to the chatbot and making sure it could answer both general questions about carbon emissions and specific queries related to EcoTrack’s features. Training it on diverse and region-specific sustainability data while maintaining accuracy was a key focus.

Another challenge was making travel data tracking hassle-free. We wanted users to get precise carbon footprint estimates without going through endless questions or manually inputting complex details. Striking a balance between ease of use and accuracy required refining our approach to ride scheduling and automated data retrieval.

Gathering relevant data for India across all tracked emission types—electricity, fuel, vehicular, public transport, and air travel—was another obstacle. Many available databases are more focused on Western countries, making it necessary to source localized and reliable figures to provide meaningful insights to Indian users.

Lastly, we wanted to ensure that community engagement wasn’t just another passive feature. To make community posts and events more meaningful, we introduced a karma points system, rewarding users for attending and hosting sustainability events. This added a gamification element, encouraging participation while reinforcing positive environmental actions.

Accomplishments that we're proud of

One of the biggest achievements was successfully integrating a chatbot powered by Chatbase with OpenAI 4o mini, ensuring it could not only provide general insights on carbon emissions but also answer EcoTrack-specific queries. Training it on relevant data for different economic backgrounds made it more practical and accessible to a wider audience.

Another major win was simplifying travel data tracking. Instead of forcing users to answer a long list of questions only to arrive at uncertain estimates, we implemented a streamlined ride scheduling feature using Google Maps. This allowed users to calculate emissions effortlessly, making the tracking process more intuitive and reducing friction.

Overcoming the challenge of sourcing India-specific emissions data was another key accomplishment. With many carbon tracking tools primarily catering to Western audiences, gathering reliable, localized data ensured that EcoTrack provides more accurate estimates for Indian users—something that makes it stand out.

Additionally, to make community engagement meaningful, we implemented a karma points system, rewarding users for attending and hosting sustainability events. This introduced a layer of gamification and motivation, turning EcoTrack into more than just a tracking tool—it became a space for real-world action and impact.

What we learned

One of the biggest takeaways was realizing how data-driven insights make a sustainability app far more impactful than just tracking numbers.

Working with the Google Maps API taught me how valuable real-time geolocation data is for accurate carbon footprint estimation. Initially, I considered a more manual approach where users input their estimated travel distances, but this led to inconsistent and unreliable results. By allowing users to select their start and end locations and mode of transportation, I was able to automate distance calculations, leading to far more precise emissions tracking. This reinforced the importance of leveraging existing technologies rather than reinventing solutions from scratch.

On the analytics side, I learned that simply displaying a user’s carbon footprint isn’t enough. Users need context—how their footprint compares to past months, which categories (electricity, fuel, public transport, etc.) contribute the most, and what actions they can take. Designing data visualizations and trend analysis helped me understand how to present complex environmental data in a way that’s both digestible and actionable.

What's next for EcoTrack

Implementing periodic Lambda functions or similar scripts to analyze the database every few hours, providing more accurate scheduling. This would include capturing data for rush hour vs. non-rush hour periods and generalizing it over time, as well as performing a similar analysis for weekend vs. weekday data to provide better travel estimates.

Adding functionality to track flight times based on flight numbers and integrating this data into the overall ride tracking system, helping to better estimate carbon footprints from air travel.

Re-training the chatbot periodically using data from users who have earned high karma points, while also introducing a feature for users to showcase their achievements. This would encourage greater engagement and improve the community aspect of EcoTrack, emphasizing that it’s more than just a tracking tool.

Enhancing analytics by introducing additional graphs that break down and highlight areas where users' carbon footprints exceed the target. This will help users analyze specific portions of their footprint and identify areas for improvement.

Built With

• chartjs
• chatbase
• firebase
• google-cloud
• nextjs
• typescript