Mindflix: AI-Powered Employee Well-being Platform

🎯 Overview

Mindflix transforms traditional employee mood tracking into an intelligent support system that proactively identifies and addresses well-being concerns. Using advanced AI and data analytics, it provides personalized support while generating actionable insights for organizational leadership.

🚀 Quick Setup

Prerequisites

• Python 3.10+
• Neo4j Account (Graph Database)
• MongoDB Atlas Account
• LangSmith Account (API tracing)

Environment Setup

Create .env file from .env.example

Cloning Steps

git clone <url>
cd Backend

Installation Options

UV (Recommended)

curl -LsSf https://astral.sh/uv/install.sh | sh  # Installation - https://docs.astral.sh/uv/getting-started/installation/
uv init
uv add -r requirements.txt
uvicorn app:app --host 0.0.0.0 --port 8569 --reload --env-file .env

PIP

python -m venv .venv
source .venv/bin/activate  # Windows: .venv\Scripts\activate
pip install -r requirements.txt
uvicorn app:app --host 0.0.0.0 --port 8569 --reload --env-file .env

Docker

docker compose up --build -d
docker compose ps
docker compose logs -f

📁 Project Structure

├── src
│   ├── analysis
│   │   ├── data
│   │   │   ├── activity_tracker_dataset.csv
│   │   │   ├── leave_dataset.csv
│   │   │   ├── onboarding_dataset.csv
│   │   │   ├── performance_dataset.csv
│   │   │   ├── question_bank.py
│   │   │   ├── question_relationships.json
│   │   │   ├── rewards_dataset.csv
│   │   │   ├── tagged_questions.json
│   │   │   └── vibemeter_dataset.csv
│   │   ├── data_analyze_pipeline.py
│   │   └── question_bank_pipeline.py
│   ├── chatbot
│   │   ├── chat_bot.py
│   │   ├── index.py
│   │   ├── llm_models.py
│   │   ├── mentors_system_prompt.py
│   │   ├── mentors.py
│   │   └── system_prompts.py
│   ├── database
│   │   ├── graph_db.py
│   │   └── upload_data.py
│   ├── models
│   │   ├── auth.py
│   │   └── dataset.py
│   ├── routers
│   │   ├── admin.py
│   │   ├── auth.py
│   │   ├── chat.py
│   │   ├── common.py
│   │   └── employee.py
│   └── runner.py
├── utils
│   ├── analysis.py
│   ├── api_key_rotate.py
│   ├── api_logger.py
│   ├── auth.py
│   └── config.py
├── .env
├── .gitignore
├── app.py
├── .devdeploy.sh
├── docker-compose.yml
├── Dockerfile
├── pyproject.toml
├── README.md
├── requirements.txt
├── setup.py
└── uv.lock

🔄 Core Components

Data Analysis Pipeline

Chatbot Framework

Mentors

🔐 Security & Monitoring

Security Features

• End-to-end encryption
• Role-based access
• API key rotation
• Secure data handling

Monitoring

• LangSmith API tracing
• Performance metrics
• Error tracking
• Usage analytics

🌟 Acknowledgements

• FastAPI
• Neo4j
• MongoDB
• Redis