Portfolio Details

Each project in this portfolio reflects my hands-on experience in solving real-world problems using data science, machine learning, and full-stack development. From predictive models to intelligent web applications, these solutions are built with a focus on scalability, functionality, and impact.

Project Information

  • Project Name: Healthcare AI Admin Dashboard
  • Category: Data Analytics & Visualization
  • Stack: Flask, Firebase, Recharts, Plotly
  • Github Repo: Link

Technologies Used

The admin dashboard is built using Python (Flask) for backend APIs and Firebase for real-time data storage and user analytics. It leverages Recharts and Plotly to present over 15+ visualizations, including user trends, illness distribution, and system-wide usage metrics. Tailwind CSS and Next.js were used for the frontend components of the analytics panel.

Details of Project

This admin dashboard is part of an AI-powered healthcare platform, designed to offer deep insights into user behavior and prediction trends. It helps system administrators monitor and evaluate how users are interacting with the AI tools provided on the platform.

The dashboard visualizes key analytics including: - Most commonly predicted diseases - User emotional trends (e.g., stress, depression) - Chatbot interaction volume - Doctor type requests - Risk level distribution

Firebase Analytics and Recharts are used to ensure real-time, interactive data visualization while maintaining data privacy and responsiveness.

Project Features

  • Over 15 interactive visualizations using Recharts and Plotly.
  • Real-time user activity tracking via Firebase Analytics.
  • Graphical reports on health trends and system usage.
  • Secure access to admin-only data panels.
  • Scalable and responsive dashboard layout built with Tailwind CSS.