We are pleased to inform that on 06.08.2024, Civil Engineering Department in association with IIC, organised Session on Innovation/Prototype Validation; Converting Innovation into a Start Up.
Resource Person: Ms. Srishti Saini
Designation: Project Engineer and Trainer: AI/ML
Company: Frontline Softech Private Limited
Main points covered in the workshop:
Journey into AI and ML:
Ms. Saini shared her unique transition from Civil engineering to AI and ML, providing insights into her inspiring journey.
She recounted her valuable experiences working with scientists at the CSIR-CRRI lab.
At just 25 years of age, Ms. Saini is doing a commendable job by pursuing PhD at CSIR-CRRI, specializing in the Application of AI for Road Safety.
Alongside her doctoral studies, she works as a Project Engineer in AI-ML and a Trainer at Frontline Softech Pvt. Ltd., Noida.
The idea is to develop a comprehensive AI-driven driver monitoring system adaptable to commercial fleets, ride-sharing, logistics, and private vehicles to enhance safety and reduce accidents.
Market Focus: Deploy an AI-powered drowsiness detection solution for trucking, public transport, and logistics to proactively prevent accidents and improve safety.
Scalable Product: Create a compact, cost-effective device or software that uses sensors, cameras, and AI to monitor driver behavior in real-time, alerting drivers or fleet managers to signs of fatigue or distraction.
Expand Beyond Drowsiness: Develop a suite of AI-based safety features—like lane departure warnings, collision alerts, speed monitoring, and pedestrian detection—to create a comprehensive road safety platform.
Leverage Data for Insights: Utilize the collected data to offer predictive analytics for optimized route planning, vehicle maintenance, and driver performance, building a complete AI-driven ecosystem for transportation safety.
Conclusion:
Transforming this research into a scalable product can solve a critical road safety issue and unlock vast business potential in the growing AI and transportation market.
Thanks
