• Tejal Mehta
• Rachana Nagarkar
• Divya Mulay
• Simranjeet Kaur

This paper involves the smart assistance system for outwardly debilitated individuals. As per the research, there are roughly 37 million individuals over the world who are visually impaired as indicated by the World Health Organization. Individuals with visual inabilities are regularly in need of the outer help which can be provided by people, trained dogs, or electronic gadgets as supportive system for basic assistance .The already existing systems are not cost affective and are being unaffordable for the visually impaired to but and use it. Not only being expensive but also those supporting systems are difficult to carry . Thus, this played the motivation for the development of a smart cane white stick to survive these restrictions which includes ultrasonic sensors at particular positions on the stick that gives the data about obstacle to the client by initiating the signal sound or vibrations. We proposed minimal effort and light weight framework structured with micro controller that processes signal and alerts the visually impaired person over any obstacle, water or dark areas through beeping sounds or vibrations. The system comprises of obstacle detection sensors for process of receiving, processing and sending signals to the alarm system which finally alerts the user for prompt action. The system was designed, programmed using Python language and tried for exactness by the visually impaired. Our gadget can recognize obstacle inside the separation of around 2m from the client. So, basically our system will be an assistance system which will be able to take the decision based on the precised readings collected and hence the user will be guided accordingly.

"Smart Walking System based on Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.1-8, May-2019, Available :http://www.jetir.org/papers/JETIR1905N01.pdf

"Smart Walking System based on Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp1-8, May-2019, Available at : http://www.jetir.org/papers/JETIR1905N01.pdf