Q-Crusaders: Employee Mood Tracker

Overview

MoodMinder is an innovative solution designed to understand and analyze the mood of employees. By leveraging advanced technologies like Computer Vision (CV) and Natural Language Processing (NLP), it offers insights into employee sentiments, helping organizations foster a positive work environment.

Technologies Used -

Setup and Usage

Install

git clone https://github.com/AvyaRathod/Q-Crusaders  # clone
pip install -r requirements.txt  # install

 cd frontend
 npm run dev

Features

1. Emotion Detection using CV:

• Detects employee emotions in real-time using facial expressions.
• Utilizes a pre-trained model and OpenCV for accurate emotion predictions.

2. Browsing History Analysis:

• Extracts recent browsing history to understand employee sentiments.
• Analyzes titles of the visited web pages to gauge the overall mood.

3. Feedback Summarization using GPT:

• Employees can provide feedback which is then summarized using the GPT model.
• Offers actionable insights based on the summarized feedback.

4. Sentiment Analysis:

• Uses the BERT model to classify sentiments from various data points.
• Helps in understanding the overall sentiment trend.

5. Admin Dashboard:

• Admins can log in to view aggregated data and insights.
• Offers solutions for identified problems using the GPT model.

Authors -

Avya Rathod ML and CV Developer

Pratham Gohil Backend Developer

Pranav Gupta ML and NLP Developer

Om Mukherjee Frontend Developer

Shivam Mitter ML and NLP Developer