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Execution Plan

Milestones

Status

Project in Early Development Stage
  • Idea Stage: Mid February - Mid March
  • Development: Mid March - June
  • Alpha Release: June - July
  • Release: July

Checkpoints

Research & Planning (March)

  • Market research and competitor analysis
  • Define user requirements and features
  • Select technology stack and frameworks
  • Create initial project architecture

Data Infrastructure (March-April)

  • Database & Backend Setup
  • Authentication system implementation
  • API endpoints definition
  • Data models and relationships

ML Model Development (April-May)

  • Graph To Text extraction capability
  • Raw Dataset Collection (IELTS essays)
  • Dataset Validation & Filtering
  • Training Dataset Preparation
  • Develop prompt templates for assessment
  • Model Training - Phase 1 (basic assessment)
  • Model Validation & Testing
  • Supervised Fine-tuning Until Accuracy > 80%
  • Model Evaluation with Real-world Examples

Backend Development (May)

  • Deploy Grading Model to production environment
  • Backend CRUD Functions implementation
  • Backend Query Balancer for load distribution
  • Backend Queuing system for assessment requests
  • API security implementation
  • Rate limiting and usage tracking
  • Error handling and logging system

Frontend Development (May-June)

  • User interface design and prototyping
  • UI components development
  • Essay submission workflow
  • User dashboard implementation
  • Feedback display interface
  • Progress tracking visualization
  • Responsive design implementation

Testing & Optimization (June)

  • Unit and integration testing
  • Performance optimization
  • Load testing
  • Security testing
  • User acceptance testing
  • Bug fixes and improvements

Deployment & Launch (July)

  • Alpha release to limited users
  • Gather user feedback
  • Implement critical improvements
  • Documentation finalization
  • Marketing materials preparation
  • Full public release
  • Post-launch monitoring and support

Post-Launch (August onwards)

  • User behavior analysis
  • Feature enhancements based on feedback
  • Model improvement and retraining
  • Content expansion
  • Partnership development

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