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Inspiration

Everywhere we walk, there is a lot of waste that is misplaced and it negatively impacts the environment.

What it does

Identifies trash that is thrown into the right waste bins and rewards people for throwing their waste correctly.

How we built it

We first built a database in python which can also create meaningful data insights. This database provided important information about each user. We used a Twilio phone number with python and python printed jQuery to send and receive messages saying that we have gotten 100 points for our trash throwing away.

Challenges we ran into

We ran into problems with how we would identify our clients and users. There were also numerous bugs in the system.

Accomplishments that we're proud of

We are proud of our thorough thought out database with information and numerous fields for our users. Additionally, we are happy with our robust image recognition AI model that we created in the 24 hour period. We are proud of how we solved the problem of the identification of the two-factor authorization on using a texting service in Twilio.

What we learned

We learned how to make a tangible and viable product and what is needed to make this possible. We also learned the steps of product development and how this can be achieved. We learned how to program the texting two-factor authorization service, the database, and the machine learning recognition learning system in Python.