SAPMechanic

Cutting-edge software for reserving tire change appointments.

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Inspiration

I am sure that we have all had our issues with reservations, with the long wait times on the phone, for example. Thus, we decided to build this website to schedule reservations for a tire changing stop.

What it does

With reservation data, we can optimize the separation of cars into different bay areas. We also have a Chatbot, that can extract the important reservation information that clients give.

How we built it

Everything is hosted on docker containers to help with scalability and portability on the google cloud compute engine. MongoDB was on a separate container and it served as a medium of communication between our frontend services and backend services

Challenges we ran into

Our main challenge was that we did not have enough time to do everything we wanted. We ran into several problems with the Chatbot, as well,

Accomplishments that we're proud of

We are extremely proud of the look of our website, as well as the optimizing algorithm that sorts the cars into different bays. We are also happy about our use of the Cohere API, allowing us to use a chatbot and get the important reservation information.

What we learned

MongoDB interactions, using a chatbot (Cohere API)

What's next for SAPMechanic

We would like to further optimize are sorting algorithm for bay areas. We would also like to add more data visualisation tools with machine learning to aggregate the data and the analyze traffic. This will facilitate data collection to express it in summary form for statistical analysis.

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