Focus Management and Digital Wellness Platform

Overview

This is a detailed description of Project 1. It includes information about the project's goals, challenges, and solutions.

Features

• 🧠 Predictive Nudges – An XGBoost model predicts distraction risk in real-time with over 97% accuracy and provides proactive nudges.
• 💬 AI Productivity Coach – Integrated with Google Gemini to give actionable, personalized tips for staying on track.
• 🕒 Focus Tools – Pomodoro timer + daily/monthly/annual goals to help users plan and track productivity sessions.
• 🧭 Brain Visualizer – Live hemisphere visualization showing the balance between logical and creative activity.

Technical Details

• Frontend: HTML, CSS, JavaScript
• Backend: Python Flask (for distraction risk prediction)
• Machine Learning:
  • Model: XGBoost
  • Data: 50,000+ labeled entries from user interaction sessions
  • Training: Done in Google Colab
  • Split: 80% Training, 10% Validation, 10% Testing
  • Model Files: distraction_model.pkl, feature_columns.pkl
• Deployment: Firebase (for hosting demo website)
• AI Chat Assistant: Google Gemini API