The problem MockBit - AI interviewer solves

Many platforms offer professionals and students to practice mock interviews, however it is expensive because human interviewers are used. By using MockBit, we made it simple for candidates to practice. An AI bot will conduct interviews and offer feedback in place of a human.
This platform equips both students and professionals with the necessary tools to excel in real-world interviews by simulating various scenarios and offering personalized feedback. With MockBit, individuals can sharpen their communication skills, refine their responses, and gain confidence, ultimately increasing their chances of success in securing desired opportunities.

Challenges we ran into

Our application's user interface and model training were simple to construct. But we ran across a bottleneck when integrating. Response times for the large language model(LLM) running on our local CPU were sluggish, taking anything from one to three minutes. We made the decision to move the model to a Google Colab server in order to fix this performance issue. As a result, we can greatly increase response times by utilizing a GPU's processing capability. Lastly, in order to make the model available for integration, we intend to provide an API and use ngrok to establish a secure tunnel.