BatteryDB

Project Info

  • Duration: 2021-Present
  • Role: Lead Developer
  • Type: Commercial
  • Status: Active Development

    • Technology

  • Python
  • JavaScript
  • PostgreSQL
  • AWS
  • Django
  • Docker
  • Kubernetes
  • Redis
  • Terraform

    • BatteryDB Overview

    A comprehensive cloud-based platform for battery testing, analysis, and grading, featuring advanced machine learning capabilities and real-time data processing.

    BatteryDB is an enterprise-grade solution that revolutionizes battery testing and analysis through cloud computing and machine learning. The platform processes vast amounts of battery test data in real-time, providing instant insights and automated grading capabilities for battery manufacturers and researchers.

    Technical Implementation

    Core Components

    • Backend: Django REST API with PostgreSQL
    • Frontend: React.js with Material-UI
    • Infrastructure: AWS, Kubernetes, Docker
    • ML Pipeline: TensorFlow, scikit-learn
    • Data Processing: Redis, Celery

    Key Features

    • Real-time data processing and analysis
    • Automated battery grading system
    • Advanced visualization tools
    • Scalable cloud infrastructure
    • Machine learning predictions

    Technical Achievements

    • Processed over 1 million battery test cycles
    • Achieved 99.9% uptime with Kubernetes
    • Reduced analysis time from hours to minutes
    • Implemented automated scaling for peak loads
    • Developed custom ML models for battery analysis