Inspiration
We have seen that people are not educated on what to recycle and what to not recycle. Research has shown only around 34 percent of Americans have said that they regularly recycle. Although many things can be recycled such as plastic water bottles, plastics end up in landfills and oceans causing even more pollution. We were inspired to create change in order to reduce waste pollution using an app that uses AI and Machine to create a mobile application that encourages people to recycle more with advanced AI algorithms and helping people make smart decisions.
What it does
Using advanced Machine Learning and AI algorithms, an AI scanner determines what the item that is being scanned is and if it is recyclable. For example, if an object such as cardboard is scanned, it will be given a percentage on what type of waste it is. The types of waste our program can pick up is electrical waste, hazardous waste, recyclable waste, and green waste.
How we built it
To build this application, we used a variety of AI and Machine learning algorithms such as image classifying to create a framework that was coded with custom ML software and Adobe XD for the front end app
Challenges we ran into
This year at HackTheNorth being online for us, we ran into many technical difficulties. One of those issues was dealt by Anant. He was responsible for creating the AI and Machine learning portion of the code and the image classifier. However, his webcam did not work which did not allow him to test his code. Fortunately, Anant was able to use his phone as a camera and tested out the code.Another challenge Anant faced was to connect our app to the cloud services. However, that was not working, so he decided to attach our app to a local document. Lucas also ran into some challenges. Namely, he was under pressure for the tight timeline however, he pushed through on his part for the better of the team. That issue was a common challenge for all of the team members. From Anant creating AI code and backend, to Lucas with his front end designing challenges, to Akshaj and his research. We all managed to push through it and fulfill our roles.
Accomplishments that we're proud of
Every teammate on this team is proud of accomplishing to make a whole app in 36 hours. We are truly honored to be HTN hackers. We are also proud of learning new things at the workshops and panels in order to gain more experience.
What we learned
In this tough timeline to create a project from scratch, we believe we learned from our challenges that we faced and the experience we acquired working under pressure conditions.
What's next for GreenSort
GreenSort will be implemented into daily life and be used by users within friends and family. Once the final iteration has been cleared, it will be set for the app stores. We hope to continue this idea outside of just a hackathon and use it for what it's meant for.
Log in or sign up for Devpost to join the conversation.