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AI-Powered Analytics Dashboard

A comprehensive analytics platform that leverages artificial intelligence to provide real-time insights and predictive analytics for business intelligence. The platform processes large datasets, identifies patterns, and presents actionable insights through interactive visualizations. The system integrates multiple data sources, applies machine learning algorithms for trend analysis, and provides customizable dashboards for different user roles. Built with scalability in mind, it handles millions of data points while maintaining sub-second query response times.

Project Details

Timeline

6 months

Team Size

4 developers

My Role

Lead Full-Stack Developer

Technologies
React
D3.js
Python
TensorFlow
AWS
WebSocket
PostgreSQL
Redis

Key Features

Real-time data streaming and visualization

Predictive analytics with machine learning models

Customizable dashboard layouts and widgets

Multi-tenant architecture with role-based access

Export capabilities for reports and data

Mobile-responsive design for on-the-go access

Challenges
  • Processing and visualizing large datasets in real-time
  • Implementing complex machine learning models for predictive analytics
  • Ensuring sub-second response times for interactive dashboards
  • Managing state synchronization across multiple dashboard components
Solutions
  • Implemented data streaming with WebSockets and optimized database queries
  • Used TensorFlow.js for client-side ML inference and Python backend for training
  • Applied aggressive caching strategies with Redis and database indexing
  • Utilized React Context and custom hooks for efficient state management

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