TraffiKAI: An AI-Powered Solution for Efficient Traffic Management
In this talk, we will be discussing TraffiKAI, an AI and ML solution designed to address the pressing issue of traffic congestion and the challenges faced by emergency vehicles. TraffiKAI proposes two components: Dynamic Traffic Signaling and Emergency Vehicle Detection. Our objective is to improve the efficiency of the traffic signaling system and ensure smooth traffic flow. We utilize the Intel AI Analytics Toolkit with the oneAPI DNN Library. This toolkit integrates with popular frameworks like TensorFlow, enhancing model performance.
Dynamic Traffic Signaling dynamically adjusts signal lights based on lane density. Object detection algorithms, such as Single Shot Detector, are employed for efficient detection. Emergency Vehicle Detection combines audio and video analysis, providing accurate identification using ensemble learning.
In summary, through dynamic signaling and accurate detection, TraffiKAI aims to enhance the efficiency of traffic systems and improve traffic management.
Speaker(s)
Guru Akhil Mandala - Undergraduate Student/Dayananda Sagar College of Engineering
Meet Akhil, a passionate ML enthusiast with a strong inclination toward coding. “I explore the fascinating world of machine learning and constantly expand my knowledge. Participating in code challenges and hackathons fuels my motivation to solve complex problems and collaborate with others. I value effective communication and strive to create a positive, collaborative environment.”
Mani Kanta - Undergraduate Student/Dayananda Sagar College of Engineering
Hello, I’m Manikanta, a passionate individual with expertise in coding, Machine Learning (ML), Deep Learning (DL), and MLOps. I enjoy cricket and movies in my free time. As a lifelong learner, I stay updated with the latest advancements and apply them to real-world problems. I have hands-on experience implementing ML and DL algorithms, finding creative solutions to challenges. I’m driven and dedicated to making a positive impact through innovative solutions.
Nishank Satish - Undergraduate Student/Dayananda Sagar College of Engineering
Meet Nishank, a geeky, code-loving enthusiast of machine learning and data science, with a passion for data engineering. “An extrovert at heart, I thrive on connecting with others and exploring new opportunities. When I’m not engrossed in coding, I find myself drawn to the world of self-help books, where I seek diverse perspectives and insights to nurture personal growth.
But that’s not all – I am also a cricket aficionado, taking to the field whenever I can, combining my love for strategy and team play. In my free time, you’ll often find me engrossed in thought-provoking podcasts that feed my curiosity and broaden my horizons. Additionally, spending quality time with family and friends is essential to me, as it brings joy and a sense of balance to my life.”
Pothuri Vineel Akash - Undergraduate Student/Dayananda Sagar College of Engineering
Vineel Akash is pursuing a Btech in Dayananda Sagar College of Engineering. He loves to code, read books, explore new opportunities and is a ML enthusiast.
Shreyas K - Undergraduate Student/Dayananda Sagar College of Engineering
Shreyas is an energetic and dedicated ML Engineer with a strong passion for AI and computer vision technologies. “My expertise includes developing cutting-edge projects in dynamic traffic management, generative AI applications, and object detection models. I am recognized for optimizing traffic flow and revolutionizing historical experiences through innovative AI solutions like Generative AI. With exceptional problem-solving skills, keen attention to detail, and a drive for continuous learning and innovation, I am excited to share my insights and inspire others in the dynamic field of AI. Let’s explore the boundless possibilities together!”
