The problem Online Interview Analysis solves

The online interview analysis project offers a valuable resource for job candidates by providing a comprehensive evaluation of their interview performance. Through the utilization of deep learning algorithms, the analysis extracts valuable information such as language, tone and eye movement of the interviewee, providing a data-driven report that highlights areas of strength as well as areas requiring improvement. This allows individuals to gain insight into their own performance and make necessary changes to their interview skills, ultimately leading to greater success in future interview opportunities.

Challenges we ran into

In the course of developing our online interview analysis project, we encountered several challenges related to the accurate identification of emotions in both facial expressions and transcriptions. Specifically, we encountered issues with misclassification in both face emotion recognition and transcript emotion recognition. Additionally, we encountered difficulties in accurately detecting eye blinking as anomalies. To overcome these issues, we implemented various strategies such as fine-tuning our deep learning algorithms, incorporating additional data sets for training, and utilizing advanced techniques for anomaly detection. Through a combination of these approaches, we were able to significantly improve the accuracy of our system and effectively address the challenges we faced.