TrashTrove

Inspiration

The lack of waste management practices has caused significant issues.
One major concern is overwhelming landfills, leading to environmental degradation and health hazards.
Valuable resources are wasted due to lack of awareness about recyclable materials.
Improper disposal methods often lead to valuable resources being wasted, causing significant environmental consequences.
Improper disposal practices contribute to air and water pollution, posing severe health risks to nearby communities.
The absence of recycling and waste-to-energy initiatives hampers efforts to combat climate change and rely on alternative energy sources.
The failure to segregate, recycle, and dispose of waste properly has triggered serious issues like overflowing landfills, resource depletion, pollution, and climate change.
Urgent action is required to implement efficient waste management practices and pave the way for a more sustainable future.

TrashTrove provides a user-friendly platform that utilizes advanced image recognition technology.
Users can determine the recyclability of a product by uploading an image to the platform.
The platform swiftly analyzes uploaded product images to identify their recyclability status.
For recyclable products, comprehensive information about recycling methods is provided to encourage environmentally friendly choices.
Non-recyclable products are guided towards appropriate disposal methods to minimize environmental and health harm.
Responsible waste management is essential for mitigating pollution, reducing landfill burden, and combatting climate change.

One of the main difficulties we faced was ensuring the Algorithm Accuracy. This means how well the system can recognize and correctly tell if a product is recyclable or not from the uploaded images.
We faced was the lack of free computing resources. We had limited server capacity, which made it impossible to host the website without compromising its performance.

Our proudest accomplishment in this project is developing a highly accurate and user-friendly waste management platform.
By leveraging image recognition technology, we enable users to make informed decisions about waste disposal with an accuracy of 95%.
We are also proud of fostering awareness and promoting responsible waste management practices.
Dataset consisting of that 22000+ images was used for training the ML Model.
We successfully hosted locally the backend in spite of the lack of free resources.

Importance of Waste Management: We have gained a deeper understanding of the critical importance of effective waste management practices.
Impact of Recycling Awareness: Lack of awareness about recyclable materials has significant repercussions on resource conservation and sustainability.
Environmental Consciousness: Through this project, we have gained a heightened sense of environmental consciousness.
User-Centric Design: Developing a user-friendly interface has taught us the significance of user-centric design. A simple and intuitive interface encourages greater user engagement and participation in responsible waste management practices.

Our next step for TrashTrove is to develop a mobile app that takes waste management convenience to the next level. With the app, users will no longer need to upload images; instead, they can simply scan the product using their smartphone's camera.
By focusing on user convenience, accuracy, and global collaboration, we are dedicated to creating a more sustainable and environmentally conscious future for all.
We plan on making our waste segregation more specific in future for better and optimized results.
To motivate users to use the application, we will be bringing some kind of return-reward system based on the frequency of their usage.