EcoBuddy

Inspiration

As an international student from Myanmar, adjusting to life in Canada brought many new experiences and challenges. One significant difference was the waste disposal system. Back home, we didn't have separate categories for trash, food waste, and recycling. Arriving in Canada, I often found myself confused about where to dispose of various items. I frequently resorted to Google searches or stood in front of bins, uncertain about the right choice. This not only caused inconvenience but also made me worry about the environmental impact of incorrect disposal. This experience inspired me to create EcoBuddy—a tool to help others easily identify and properly dispose of their waste.

What it Does

EcoBuddy helps users identify the correct disposal category for their waste. By uploading a picture of the item, users receive guidance on whether it should go into the trash, recycling, or food waste bin. This promotes proper waste management and helps protect the environment.

How We Built It

Creating EcoBuddy was a challenging yet rewarding process. Here’s how we built it:

• Conceptualization: Identifying the need for a waste identification tool based on personal experiences.
• Machine Learning: Training models to recognize various types of waste using image recognition technology.
• API Integration: Ensuring seamless communication between the frontend and the machine learning backend.
• Frontend Development: Designing an intuitive and accessible interface using Svelte, making it easy for users to upload images and receive disposal recommendations.

Challenges We Ran Into

The journey was not without its hurdles:

• API Integration: Finding and integrating a reliable API for waste recognition was a significant challenge.
• Machine Learning Accuracy: Ensuring the machine learning model accurately identified waste items required extensive training and fine-tuning.
• Frontend Design: Creating a user-friendly and visually appealing interface with Svelte posed its own set of challenges. Our main developer, Luigi, played a crucial role in debugging and resolving these issues, ensuring the project’s success.

Accomplishments That We're Proud Of

We are proud of several key accomplishments:

• Successful Integration: Overcoming the challenges of integrating a reliable API and achieving accurate waste recognition.
• User-Friendly Interface: Designing an intuitive and attractive frontend that makes it easy for users to get the information they need.
• Environmental Impact: Creating a tool that contributes to better waste management and environmental sustainability.

What We Learned

Building EcoBuddy was a profound learning experience. We gained insights into:

• Waste Management: Understanding the importance of proper waste segregation for environmental sustainability.
• Machine Learning: Implementing algorithms to accurately identify different types of waste.
• Frontend Development: Designing a user-friendly interface using Svelte.
• Collaboration: Working closely with our team to overcome technical challenges.

What's Next for EcoBuddy

We have exciting plans for the future of EcoBuddy:

• Expansion of Waste Categories: Adding more specific waste categories to improve accuracy.
• User Feedback Integration: Incorporating feedback from users to continually improve the tool.
• Mobile App Development: Creating a mobile app version to make EcoBuddy even more accessible.
• Educational Resources: Providing additional resources to educate users about waste management and environmental sustainability.

EcoBuddy was born out of a personal need and grew into a tool that can benefit many. It not only simplifies waste disposal but also contributes to environmental sustainability by promoting proper waste management practices. I am proud of what we’ve achieved and look forward to seeing the positive impact EcoBuddy will have on our communities. nspiration

Built With

• flask
• openai
• svelte