Project Overview
This project represents a cutting-edge approach to data analytics, combining traditional business intelligence with modern machine learning capabilities. The platform processes large datasets in real-time, providing actionable insights through an intuitive dashboard interface.
Key Features
- Real-time data processing and visualization
- Machine learning-powered predictive analytics
- Customizable dashboard with drag-and-drop widgets
- Advanced filtering and data exploration tools
- Export capabilities for reports and presentations
- Role-based access control and user management
Challenges & Solutions
- Processing large datasets in real-time
- Implementing complex ML algorithms
- Creating intuitive data visualizations
- Ensuring scalability for enterprise use
Project Info
Duration:6 months
Team Size:4 developers
My Role:Lead Full-Stack Developer
Technologies
Frontend
Next.js, TypeScript, Tailwind CSS, Chart.js
Backend
Python, FastAPI, PostgreSQL, Redis
ML/AI
TensorFlow, Pandas, NumPy, Scikit-learn
Infrastructure
Docker, AWS ECS, RDS, ElastiCache
Tags
Next.js
Python
PostgreSQL
TensorFlow
Docker
AWS