This project aims to develop an automated system to identify and verify real vs fake missile launches on Twitter in real-time to combat the spread of misinformation.
- Requirements
- Development Process
- Risk Assessment
- Architecture
- Front-End
- Back-End
- Database Schema
- API Layer
- Performance Metrics
- Development Timeline
- Risk Mitigation
- Budget & Resources
- Real-time Twitter Monitoring
- Data Analysis & Preprocessing
- Model Specifications
- Performance Metrics
- Phase 1: Real-time Monitoring
- Phase 2: Data Analysis
- Phase 3: Model Implementation
- Phase 4: Bot Deployment
- Ethical Risks
- Technical Risks
- Tech Stack
- Front-End
- Back-End
- Database Schema
- API Layer
- Languages/Frameworks
- Features
- Real-Time Twitter Monitoring
- Data Preprocessing
- Machine Learning Models
- Decision Making Logic
- Tables
- Tech
- Endpoints
- Logging
- Monitoring
- Sprints
- Version Control
- Code Reviews
- Testing
- CI/CD Pipeline
- AWS EC2 instances for backend processing
- AWS S3 for data storage
- Cloud-based GPUs for model training
Refer to the individual README files in the frontend and backend directories for instructions on how to set up and run the application.
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.