Meet---Transcriptor-Summarizer by Yusuf80216

Open-source video interview analysis — emotion detection, speech scoring, and resume-JD matching using ML. Maintained by harivilasp on GitHub, where it has earned 57 stars from the community.

We are building an interface that helps users with a situation by the use of an AI that asks questions on the basis of a code which the aspirant has written, asked from a diverse pack of frequently asked coding questions. Then the AI asks the aspirant questions related to his code and some staple questions. At the end of this experience, the user receives his interview profile showing him his flaws in answering questions, his fluency, and his ability to handle the situation verbally. This can be done on various levels and be stored for future scrutiny by the user. We can also provide a growth curve that helps the aspirant to judge his progress. Maintained by aryasoni98 on GitHub, where it has earned 111 stars from the community.

This is a template for creating a Machine Learning application with its front-end developed using React which interacts with a Flask service as the back-end and makes predictions. Maintained by kb22 on GitHub, where it has earned 308 stars from the community.