Inspiration
In our daily lives, electronic devices have become ubiquitous, and the challenge lies in their responsible disposal once they reach the end of their lifecycle. This project seeks to address this issue by providing a safe and convenient method for users to dispose of their electronic devices while also offering them an opportunity to earn money through the process.
What it Does
The application allows users to scan electronic devices, such as laptops and phones, using a Deep Learning model. This model helps in identifying the devices, and the application then guides users to the nearest disposal location. At these locations, users can assess the value of their devices and redeem this value on their next purchase or repurpose it for other uses.
How We Built It
The project involves the development of a mobile application and the implementation of a Deep Learning model for device detection. The integration of the model with the frontend of the application posed a challenge that we successfully addressed during the development process.
Challenges Faced
Several challenges were encountered during the project. These challenges included managing high AWS bills during application deployment, handling issues with Jenkins, integrating Google Maps functionality, and ensuring seamless integration of the Deep Learning model with the application's frontend.
Accomplishments We're Proud Of
One of the significant achievements of this project is the ability to provide reasonable compensation for unused or malfunctioning electronic devices through conveniently located disposal points. This accomplishment aligns with our goal of promoting responsible e-waste disposal.
Lessons Learned
The project taught us the importance of perseverance and resilience in the face of challenges. It underscored the value of staying committed to the project's objectives and finding solutions even when difficulties arise.
What's Next for E-waste
The future development of this project involves expanding the Deep Learning model to detect a broader range of electronic devices. The ultimate goal is to implement this solution into the real world, making it an integral part of sustainable e-waste management.
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