Project Info

Bhartee AI

This project did not submit a demo video on Devpost.

Inspiration

In today's fast-paced tech world, finding the right talent efficiently is crucial. Traditional hiring processes are time-consuming and often biased. We created BharteeAI to revolutionize technical hiring, making it faster, fairer, and more effective.

What it does

BharteeAI is an end-to-end AI-powered interview platform that: Screens resumes using advanced NLP and vector search Conducts real-time video interviews with an AI interviewer Assesses coding skills with an in-browser IDE Generates comprehensive candidate evaluations Provides a seamless experience for both employers and candidates

How we built it

We leveraged cutting-edge technologies to create a robust, scalable solution: Frontend: Reflex (Python-based reactive framework) Backend: Reflex (FastAPI) Database: SingleStore for lightning-fast queries Vector Database: ChromaDB for efficient similarity search AI/ML: Groq for natural language processing Voice Processing: VAPI (Cartesia for TTS, Deepgram for STT) Video Integration: Agora Cloud Storage: AWS S3 Deployment: DigitalOcean App Platform

Challenges we ran into

Integrating multiple AI services seamlessly Ensuring real-time performance for video and coding assessments Balancing AI automation with a human-like interview experience

Accomplishments we're proud of

Created a fully automated yet personalized interview process Developed a scalable architecture capable of handling high-volume hiring Implemented bias-reduction techniques in candidate evaluation

What we learned

The intricacies of AI-human interaction in high-stakes scenarios Optimizing performance in distributed systems Balancing technical assessment with soft skills evaluation

What's next

for BharteeAI Expanding language support for global hiring Integrating more specialized technical assessments Developing an AI training module for interviewers Join us in reshaping the future of technical hiring with BharteeAI!

BharteeAI

BharteeAI is an AI-powered interview platform that helps companies streamline their hiring process by conducting automated technical interviews.

Features

AI-driven interview questions generation
Real-time code execution during interviews
Resume screening and matching
Video and voice integration for remote interviews
Comprehensive interview analysis and reporting

Installation

Clone the repository:

git clone https://github.com/yourusername/bharteeai.git
cd bharteeai

Create a virtual environment and activate it:

python -m venv venv
source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

Install the required packages:
```
pip install -r requirements.txt
```
Set up your environment variables: Copy the .env.example file to .env and fill in your API keys and other configuration details.
Run the application:
```
reflex run
```

Testing

Run the test suite using pytest:

pytest

Deployment

Follow the deployment instructions in the documentation to deploy BharteeAI to your preferred hosting platform.

Contributing

Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.

License

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

Analysis

Compare with all teams

View

Metric

No commits on this project resolved to a GitHub account.

Technology

Found in codeClaimed only

PythonIn code
SQLIn code
FastAPIClaimed

2 of 3 appear in the indexed code. 1 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.

AI coding agents

No AI coding agent signals were found in this repository.

Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

11 MB

Source files

1,063

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.