Save Life With AI
Jha, Deepak1 and Khandelwal, Jyoti2
1B.Tech. Student, University of Engineering & Management, Jaipur
2Associate Professor, University of Engineering & Management, Jaipur
Abstract
In the present time accidents gradually increasing in India and also the deaths. Some death occurs at the spot and some after the accidents because no single facility like Medical Aid arrived at the accident spot on time. So, here we introduce an AI loaded device which identify the accident and report it to the nearest police station with the real time accident occurrence footage so that they can identify the exact location of the accident and proceed to the next further actions like sending medical aid for the victim, cranes and hydras to clear the highway so that no traffic jam is being occurred. The working of this system is very simple. An AI loaded CCTV is being mounted at the divider of the highway for the up and town lanes. It will have a maximum range to cover the highway of either side of lane. As any accident occurs, this will record the footage of at least 15-20 sec or minimum of that accident and immediately send it to the nearby Police control room as highest priority. As the control room is always alert the duty officer will confirm with single click, a direct massage or call will go the hospital and the breakdown services with the accurate location that they can arrive at that location as soon as possible. Hence there will be high chance that the suffering person can be saved. This device is mainly for the remote areas like highways passing the forest, hills.
Keywords: Machine learning, data analytics, CNN, RNN, artificial intelligence.
Impact Statement
This study explores the transformative potential of Artificial Intelligence (AI) in saving lives across critical sectors such as healthcare, disaster management, public safety, and emergency response. It highlights how AI technologies — through predictive analytics, early disease detection, automated diagnostics, real-time monitoring, and rapid response systems — are revolutionizing the way life-threatening situations are identified, managed, and mitigated.
The impact of this research is profound, as it demonstrates that AI is not merely a tool of convenience but a powerful ally in protecting and preserving human life. By providing faster decision-making, improving accuracy in diagnosis, optimizing resource allocation, and enhancing preventative measures, AI systems are significantly reducing mortality rates and improving overall quality of care and response. This study offers valuable insights for healthcare providers, policymakers, technology developers, and humanitarian organizations. It calls for responsible innovation, ethical deployment, and strategic investments to ensure that AI’s life-saving potential is maximized, accessible, and equitable for all segments of society.
About Author
Deepak Jha
Deepak Jha, a passionate B.Tech student specializing in Artificial Intelligence and Machine Learning (AIML) at the University of Engineering and Management, Jaipur. My academic journey is fueled by an enduring curiosity and a strong drive to develop impactful AI solutions.
During my internship at mFilterIt, I gained practical experience in data handling, utilizing tools such as Pandas and SQL to analyze diverse datasets, extract meaningful insights, and solve real-world problems. This experience significantly enhanced my analytical skills, problem-solving ability, and adaptability to dynamic environments.
My vision is to contribute to innovative projects that merge data, intelligence, and creativity to tackle pressing real-world challenges. I am eager to learn from industry professionals and grow in a collaborative environment, while preparing myself to lead future initiatives that deliver meaningful impact.
Beyond academics, I pursue creative outlets such as sketching, reading, and music, which help me maintain a balanced and holistic approach to problem-solving—integrating both logical analysis and creative thinking to recognize patterns others might overlook.
Dr. Jyoti Khandelwal
Dr. Jyoti Khandelwal is an Associate Professor at the University of Engineering and Management, Jaipur. She holds a Ph.D. in Information System Security from Manipal University Jaipur, following her B.Tech and M.Tech degrees in Computer Science.
With over 13 years of teaching experience, Dr. Khandelwal has demonstrated a strong commitment to academic excellence and research, publishing nine papers in SCI and Scopus indexed journals. Her expertise lies in cybersecurity, and her passion for the subject is reflected both in her research contributions and in her mentoring of students. She is recognized for seamlessly blending practical industry insights with strong academic foundations, making her an invaluable guide for the next generation of technologists.
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