RoboCop

Main user interface

Inspiration

Our team was inspired by the speed and large-scale access to AI, which can be used to solve many problems. However, many still prefer human-to-human connection so our team thought of a way to bridge the gap of AI and inter-people interactions to provide an optimal experience for a caller requesting call center operations.

What it does

Our application will use AI to assist call center operations with real-time audio transcription, AI analysis of the call and intelligent AI responses.

How we built it

Frontend: HTML, CSS, JS, PYQT6
Backend: Node.js, Express.js
AI Services: OpenAI Whisper, Google Gemini API
Audio Processing: SoundDevice

Challenges we ran into

The program initially did not register any audio properly.
Configuring the MongoDB database for our application was difficult due to a lack of experience with it.

Accomplishments that we're proud of

We built a fully functioning desktop application in just one day.
We successfully integrated the Google Gemini API and OpenAI Whisper into our application.
We developed an intuitive and modern user interface.

What we learned

We learned a lot about integrating APIs, such as OpenAI's Whisper and Google Gemini, into our projects.
We learned about full stack development and all of the resources and programming knowledge to create a good desktop application.