• Muhammed Shabin Sadique
• Sanu Eldose
• Shreyas Shasi A
• Surya Dev TK
• Dr. Jithendra P R Nayak

Modern transportation systems face safety risks due to driver fatigue, distraction, and emotional distress. The Drive Safe Emotive Transport Initiative harnesses the power of Artificial Intelligence to monitor and respond to drivers' emotional and cognitive states in real time. Using facial recognition, speech analysis, and physiological data, the system detects signs of stress, drowsiness, and agitation. When triggered, it provides appropriate feedback or interventions such as alerts, calming voice prompts, or auto-slowdown assistance to ensure safer journeys. The AI engine continually learns and adapts to individual driving behaviours, enhancing accuracy over time. Prioritizing both safety and mental well-being, this hands-free, intelligent assistant promotes responsible driving and minimizes road accidents.

Drowsiness detection, Yawn detection, , Facial Recognition, Phone detection, YOLO Technology.

"DRIVE SAFE EMOTIVE TRANSPORT INITIATIVE USING AI:DROWSINESS,YAWN AND PHONE USAGE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.386-389, July-2025, Available :http://www.jetir.org/papers/JETIRGX06070.pdf

"DRIVE SAFE EMOTIVE TRANSPORT INITIATIVE USING AI:DROWSINESS,YAWN AND PHONE USAGE DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp386-389, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06070.pdf