Hiretrace AI is an advanced artificial intelligence system that combines the power of ChatGPT, Twitter sentiment analysis, and applicant fit prediction to assist recruiters and hiring managers in evaluating job applicants. This application analyzes an applicant's Twitter activity, performs sentiment analysis on their tweets, and predicts their suitability for a specific company based on their expressed sentiments.
- ChatGPT Integration: Hiretrace AI utilizes ChatGPT, a sophisticated language model, to understand and process the textual data from Twitter.
- Twitter Sentiment Analysis: The application analyzes an applicant's Twitter posts to determine the sentiment expressed in their tweets (positive, negative, or neutral).
- Applicant Fit Prediction: Based on the sentiment analysis, Hiretrace AI predicts the potential fit of an applicant with a specific company by assessing the alignment between the applicant's expressed sentiments on Twitter and the desired attributes of the company.
- User Interaction: Hiretrace AI provides a user-friendly interface where recruiters and hiring managers can input an applicant's Twitter handle or Twitter data and retrieve the sentiment analysis results and fit prediction score.
- Data Privacy and Ethics: Hiretrace AI ensures data privacy by securely processing applicant data and adhering to strict privacy guidelines. It avoids biases by focusing solely on public tweets and excluding personal information.
To get started with Hiretrace AI, follow these steps:
- Clone the repository:
git clone https://github.com/SamPrinceFranklin/HireTraceAI.git - Install the required dependencies:
npm install - Set up the necessary API keys for ChatGPT and Twitter sentiment analysis. Refer to the documentation for more details.
- Launch the application:
npm start - Access the application in your browser at
http://localhost:3000.
- Enter the applicant's Twitter handle or provide their Twitter data to retrieve their tweets.
- Hiretrace AI will analyze the sentiment expressed in the tweets and display the sentiment analysis results.
- The application will then predict the fit of the applicant with the specified company and display the fit prediction score.
- Recruiters and hiring managers can use this information to evaluate and make informed decisions about the applicant's suitability for the company.
We welcome contributions to Hiretrace AI! If you want to contribute, please follow these steps:
- Fork the repository.
- Create a new branch for your feature or bug fix:
git checkout -b feature/your-feature. - Make the necessary changes and commit them:
git commit -m "Add your message here". - Push your changes to your branch:
git push origin feature/your-feature. - Submit a pull request, and we will review your changes.
This project is licensed under the MIT License.
For any questions or inquiries, please email us at [email protected] .
Thank you for using Hiretrace AI! We hope it simplifies the applicant evaluation process for you.