Project information

• Category: Full-Stack / Machine Learning
• Project URL: https://github.com/tommasaurus/chiron
• Devpost: https://devpost.com/software/chiron-i9z68d
• Article: https://engineering.virginia.edu/news-events/news/who-won-hoohacks-2024-these-2-uva-teams-are-still-glowing

Project Overview:
Chiron is an AI-powered mock interview assistant designed to revolutionize the way individuals prepare for job interviews. By leveraging advanced technologies, including OCR, text-to-speech, speech-to-text, and emotion detection, Chiron provides a comprehensive and interactive interview preparation experience. Users can upload their resumes, search for job opportunities, and participate in mock interviews tailored to their career aspirations and experiences.

Key Features:

• User Authentication: Secure sign-up and login functionality to manage user profiles and preferences.
• Resume Editor and Analysis: Users can upload and edit their resumes. Chiron analyzes the resume using OCR (Optical Character Recognition) to generate personalized interview questions.
• Mock Interviews: Tailored interview questions based on the user's resume and job application. Chiron uses text-to-speech and speech-to-text technologies to simulate a real interview scenario.
• Emotion Detection: Using facial recognition and emotion detection technology, Chiron provides feedback on the user's demeanor during the mock interview, encouraging a positive and confident presentation.
• Performance Statistics: Post-interview, Chiron offers detailed statistics and feedback on the user's performance, highlighting areas of strength and suggesting improvements for areas of weakness.
• Job Search Integration: Chiron integrates with job search APIs to offer users the ability to find job opportunities that match their skills and interests.
• Personalized Questions: Leveraging AI, Chiron crafts questions that are directly relevant to the user's career field, experience level, and specific job applications.
• Feedback and Grading: Upon completion of the mock interview, users receive AI-generated feedback and a grade, assisting them in identifying areas for improvement.

Technologies Used:
Chiron integrates various technologies such as face-api.js for emotion detection, react-pdf for resume uploads and analysis, react-speech-recognition for converting speech to text during interviews, and more. The platform is built using React.js for the frontend and Firebase for authentication and database management, ensuring a seamless and interactive user experience.