Pinak Vyas

Organized and led the IDE Hackathon, managing operations and ensuring seamless execution.

● Designed and implemented a traffic management system to optimize vehicle flow in urban road networks

using network flow theory.

● Utilized the Ford-Fulkerson algorithm for maximum flow calculation and Dijkstra’s algorithm for

shortest path optimization.

● Modeled road networks as directed graphs, balancing traffic load dynamically by adjusting flow

capacities.

● Conducted performance tests that demonstrated a 25% improvement in traffic throughput in simulated

urban scenarios.

Predictive Maintenance of Machines using Machine Learning

● Predictive maintenance of bearing machines using ML that analyzes data to predict failures, reduce downtime, and optimize maintenance schedules.

● Analyzed large datasets using feature engineering techniques to extract critical predictive indicators.

● Achieved 80% reduction in unplanned downtime by enabling proactive, condition-based maintenance

scheduling

● Deployed the solution in a user-friendly interface for real-time monitoring and predictive insights