Team Idea
An intelligent infrastructure layer that automatically selects the most suitable AI model for each user request. Instead of sending every query to an expensive, powerful model, the router analyzes factors such as request complexity, latency requirements, cost, and desired response quality. It dynamically routes simple tasks to faster, cheaper models and complex tasks to more capable models. The system tracks model performance, response time, token usage, and costs, using historical data to improve future routing decisions. A monitoring dashboard provides real-time insights into model usage, performance, failures, and cost savings, helping developers build efficient, scalable, and cost-effective AI applications.
Team Members
Aarush Mudgil
aarush_mudgil278
