Readme.md

SelectRight

Overview

This project aims to rank candidates for a role by comparing their resumes and interview transcripts using a language model.

Folder Structure

MLE_Trial_Task/
├── data/
│   └── candidates.csv (optional, can be uploaded via the app)
├── core_services/
│   └── bot9_ai/
│       └── modules/
│           └── LLM/
│               └── OpenAi.py
├── src/
│   ├── __init__.py
│   ├── data_preparation.py
│   ├── model.py
│   ├── evaluation.py
│   ├── bias_analysis.py
│   └── report_generation.py
├── app.py
├── requirements.txt
└── README.md

Setup

1. Clone the repository.
2. Install the required dependencies:

   pip install -r requirements.txt
   

3. Run the Streamlit app:

   streamlit run app.py
   

Files

• data/candidates.csv: The dataset file (optional, can be uploaded via the app).
• llmservice/OpenAi.py: Contains the OpenAi class.
• src/data_preparation.py: Script for loading the dataset.
• src/model.py: Script for defining the model.
• src/evaluation.py: Script for evaluating the model.
• src/bias_analysis.py: Script for analyzing biases.
• src/report_generation.py: Script for generating the report.
• app.py: Streamlit app script.
• requirements.txt: List of dependencies.
• README.md: Project overview and setup instructions.