MissComs

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Inspiration

We all wanted to build something that tackles a real word problem faced by companies which may be one of the lesser known problems.

What it does

Our program analyzes transcripts between bankers and clients. And it thoroughly parses through it and analyzes any areas where the banker could have miscommunicated. It returns a score of how well the banker did at communicating with their client. This helps bank's because if any employees could be a legal liability and it allows for the bank to provide them with more training or at least make the employee aware of their shortcomings.

How we built it

In a group of four two of us tackled the website and the database. While the other two tackled the back end. We used Gemini API to provide scoring to the text based on the criteria we created. We used a database to store the transcripts and agents. We used react to make the website. We also used python for the back end to tie Gemini to the web page.

Challenges we ran into

We had a difficult time integrating the AI and Database to the front end. Making the front end interact with the back end took a bit more time than expected. Also trying to figure out the criteria for the back end proved a bit more challenging and involved more prompt engineering and research.

Accomplishments that we're proud of

We are proud that we were able to integrate a database and an AI seamlessly to our program. We are also happy that we came up with an idea and were able to finish it within the time frame considering this is all of our first hackathons.

What we learned

We learned how to apply API to a program, as well as how to make a full stack system utilizing the database, front end and back end.

What's next for MissComs

Right now our program mainly deals with limited training data, as well as it serves one purpose. Perhaps it can be built upon to be a greater assistant towards not just bankers but any company that works in customer service. Perhaps even add more features besides just checking for miscommunication.