AI Management Models Dashboard

This project implements three AI models to support managerial transformation in hybrid work environments.

Models

1. Productivity Predictor (RQ1): Analyzes performance in distributed work.
   • Folder: Productivity_Predictor
   • Goal: Predict productivity levels based on remote work habits.
2. Attrition Risk Model (RQ2): Addresses resilience & cohesion.
   • Folder: Attrition_Risk_Model
   • Goal: Predict employee attrition risk.
3. Task Recommender (RQ3): Implements the "Human-AI Collaboration" framework.
   • Folder: Task_Recommender
   • Goal: Classify tasks as suitable for AI automation, Augmentation, or Human execution.

Setup

1. Install Dependencies:

   pip install -r requirements.txt

2. Generate Data & Train Models: Run the provided scripts to generate synthetic data (mimicking the target Kaggle datasets) and train the models locally.

3. Run Dashboard:

   streamlit run app.py