RAKSHAKIntroduction: Pedestrians of Indian cities often see many terrible accidents on roads. They have to often contact an emergency helpline which often takes some time to arrive at the site, this long time can be reduced by installing devices on places like traffic lights which can report to the nearest help center in case of an accident in a certain radius. It can also connect to an app in which people also can report accidents and call to the nearest emergency center and contact them in Kannada or any other regional language through which street vendors, auto drivers and other people can communicate. They can also contact the nearest Hospitals, Police Stations and Emergency numbers fed in the app. This can minimize the deaths caused by the accidents and help people.Methods: Devices can be installed on places like TRAFFIC LIGHTS, which can help to report accidents in a certain radius using devices such as Accelerometer Sensor which can be prepared by a fixed electrode comprised of Si, a working electrode, and spring components.This can be reported to the nearest emergency center through an app directly through the instruments installed or by people who was witnessed the accidents in Kannada, English or any other regional language that people like auto drivers, vendors can communicate. Language Translators can be added to this app so that the app can be used in any Indian Language.This app can be connected to the nearest hospitals, police stations, fire stations etc. which makes it easier to save the people from accidents. Through this app Traffic Police can get to know maximum accident-prone areas and can minimize these accidents.They can also know the average accidents caused through the app.Result:Using this app, we can know the accidents caused in the street and minimize it.It can, not only be used to report road accidents, but also crimes like Chain snatching or fire accidents etc.Ultimately from this app and the sensors used we can save many lives. The role of Generative AI in this projects is: LLMs based chatbots that connect city wide. These LLMs talk to each other and understand the situation. They relay information from point to point. City wide blanket LLM that can act as a monitor to the entire gamut of devices and sensors. Language transltors using LLMS all over help in native language speakers.