LINKS:

Deployed Link:https://truehire.onrender.com/ Video Link:https://youtu.be/2ql5D2ChnHo Product Video: https://youtu.be/tY3G7pz1GZk

TrueHire

truehire.mp4

Overview

TrueHire is a comprehensive web application designed to streamline the hiring process by providing role-based assessments, AI-driven interviews, and proctoring features. It leverages FastAPI for backend services and serves static files for the frontend interface.

Problem Statement

The hiring process can be cumbersome and inefficient, often requiring multiple tools and manual coordination. TrueHire aims to simplify this by providing a unified platform for role selection, permissions management, assessments, AI-driven interviews, and proctoring.

Features

• Role Selection: Users can select their desired role and experience level.
• Permissions Management: Manage permissions for camera, microphone, and screen sharing.
• Role-Based Assessments: Generate and submit assessments tailored to the selected role.
• AI-Driven Interviews: Conduct interviews with role-specific questions and audio response recording.
• Proctoring: Ensure the integrity of the interview process with audio recording and session management.
• Results: View assessment and interview results.

Directory Structure

truehire/
│
├── main.py                # Main application file
├── static/                # Directory for static files
│   ├── index.html         # Main page
│   ├── role_selection.html# Role selection page
│   ├── permissions.html   # Permissions page
│   ├── assessment-combined.html # Assessment page
│   ├── interview.html     # Interview page
│   └── uploads/           # Directory for storing uploaded audio files
├── transcripts/           # Directory for storing interview transcripts
├── temp_audio/            # Temporary storage for audio files
└── .gitignore             # Git ignore file

Libraries and Documentation

• FastAPI: A modern, fast (high-performance) web framework for building APIs with Python 3.7+ based on standard Python type hints.
  • Documentation: FastAPI Docs
• Pydantic: Data validation and settings management using Python type annotations.
  • Documentation: Pydantic Docs
• aiofiles: File support for asyncio.
  • Documentation: aiofiles GitHub
• CORS Middleware: Middleware for handling Cross-Origin Resource Sharing (CORS).
  • Documentation: CORS Middleware Docs

API Endpoints

• GET /: Serve the main page.
• GET /role-selection: Serve the role selection page.
• GET /permissions: Serve the permissions page.
• GET /assessment: Serve the assessment page.
• GET /interview: Serve the interview page.
• POST /api/select-role: Select a role and create a session.
• POST /api/permissions: Update permissions for a session.
• GET /api/assessment/questions/{session_id}: Get assessment questions based on role.
• POST /api/assessment/submit: Submit assessment answers.
• POST /start_interview: Start the interview process.
• POST /submit_answer: Submit interview answers with audio recording.
• GET /results: View results page.
• GET /api/results/{session_id}: Get results data for a session.

Configuration

API Keys

To use the Whisper API and Deepeek R1 Model, you need to set up API keys. Follow these steps:

1. Whisper API Key: Obtain your API key from Whisper API and set it in your environment variables:

   export WHISPER_API_KEY='your_whisper_api_key'

2. Deepeek R1 Model Key: Obtain your API key from Deepeek AI and set it in your environment variables:

   export DEEPEEK_R1_API_KEY='your_deepeek_r1_api_key'

Getting Started

Prerequisites

• Python 3.7+
• FastAPI
• aiofiles

Installation

1. Clone the repository:

   git clone (https://github.com/techiepookie/truehire)
   cd truehire

2. Install dependencies:

   pip install -r requirements.txt

3. Run the application:

   uvicorn main:app --reload

4. Access the application at http://localhost:8000.

Features & Implementation

Phase 1: Authentication & Interest Collection

• Email/password and Linkedin authentication
• Role selection (Management/Developer)
• Experience level assessment
• Profile initialization

Phase 2: Profile Management

• Dashboard with completion status
• Interest and experience display
• Profile editing capabilities
• Progress tracking

Phase 3: Job Matching System

• Smart job recommendations
• Company culture matching
• Salary transparency
• One-click applications

Phase 4: Challenge System

Developer Track:

• Live coding challenges
• Code execution & testing
• Real-time feedback
• Performance metrics

Management Track:

• Case study analysis
• Decision-making scenarios
• Leadership assessments
• Strategic thinking tests

Phase 5: AI Interview Simulation

• GPT-powered interviewer
• Natural conversation flow
• Skill assessment
• Personality evaluation
• Automated feedback generation

Phase 6: Post-Hire Integration

• Company dashboard
• Candidate scorecards
• Offer management
• HR communication portal

Future Roadmap

• Mobile application
• Advanced AI models
• Blockchain verification
• Video interview features
• International market support

Team

• Project Lead: Nikhil Kumar Obhawani
• Team: Kshitiz Jangra,Krishnopreya Chakraborty

Support

For support, email support: nikhilkumar1241@outlook.com

krish6.ch@gmail.com kshitizravijangra@gmail.com

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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TrueHire is committed to transforming hiring by focusing on what truly matters - skills, potential, and demonstrated abilities. Join us in creating a more equitable future of work.