1. Overview
2. Features
3. Technical Details
4. Frontend
5. Backend
6. AI
7. Sprints

An AI interviewer designed to simulate real interview scenarios, provide feedback, and recommend improvements.

• Live Questions: Engage in real-time conversations with an AI interviewer.
• Interview Types: Supports both behavioral and technical interviews (technical interviews coming soon).
• Speech Recognition & Synthesis: Recognizes speech inputs and synthesizes responses.
• Session Feedback: Provides feedback on sessions, including:
  • Session duration
  • Confidence levels
  • Sentiment analysis
• Recommendations: Suggests improvements, highlights strengths, and recommends further study materials.

• AI Integration: AI models are trained to understand and respond to interview questions.
• Chat Features: Supports both text and audio communication.

• Chat Interface:
  • Chat with the AI assistant using text or audio.
  • Requires an AI instance API link.
• User Profile:
  • Manage user information including name, email, and number of mock interviews.
• Mock Interview Sessions:
  • Create and submit mock interview sessions.
  • Retrieve session information and insights from the backend.
• Speech Input Recognition: Converts spoken inputs into text.
• Speech Synthesis: Converts text responses into spoken words.
• Interview Summary: Provides a summary of the interview session.

• Session Management: Store and retrieve session information.
• Feedback Mechanism: Analyze sessions to provide detailed feedback.
• Recommendation System: Generate recommendations based on session performance.

• Training: Ongoing training of AI models to improve response accuracy and relevance.
• Performance Monitoring: Continuously monitor and evaluate AI performance.

• Set up project repository and initialize README
• Research and define AI models to be used - (complete part 1 of hackathon)

• Plan overall architecture - wireframes plus mockups
• Set up basic backend with session management
• Start developing AI integration (basic response system)

• Develop frontend chat interface (text-based)
• Integrate frontend with backend for session creation and management

• Implement speech recognition in the frontend
• Develop feedback mechanism for sessions

• Enhance AI integration for more complex responses
• Implement sentiment analysis in feedback

• Develop user profile management in frontend
• Integrate speech synthesis in frontend

• Implement interview summary feature in frontend
• Enhance feedback mechanism with confidence levels

• Develop recommendation system for further study materials
• Test and refine AI responses for accuracy

• Conduct end-to-end testing of all features
• Fix bugs and improve UI/UX

• Prepare documentation for the project
• Finalize project for deployment

• Conduct final testing and quality assurance
• Deploy the project

• Gather user feedback and make final adjustments
• Plan for future updates and improvements

Feel free to contribute to this project or raise issues in the issues section. For more detailed information, refer to the documentation.