Back to ProjectsProject Mirai
An AI-powered predictive analytics platform for future trend analysis.
Overview
Project Mirai leverages cutting-edge machine learning algorithms to analyze historical data patterns and predict future trends across various domains. The platform uses ensemble learning techniques and neural networks to provide accurate forecasts with confidence intervals.
Technologies Used
Key Features
Multi-domain trend prediction (finance, technology, social)
Interactive visualization of prediction models
Automated data pipeline for continuous learning
Real-time model performance monitoring
Custom model training interface
API access for third-party integration
Challenges
Achieving high accuracy across diverse data domains while maintaining model interpretability and handling data drift in real-time.
Outcome & Impact
Achieved 87% prediction accuracy on test datasets with sub-second inference time for real-time predictions.
How I Grew
Deepened understanding of ensemble learning and neural network architectures
Learned to balance model accuracy with interpretability for production use
Gained expertise in handling data drift and continuous model retraining
Improved skills in optimizing ML models for low-latency inference