The major issues faced by the blind people is navigating from one place to another place and also lack of accessing the information from the sources like books, website or in any other form of sources . In occur of any situation, they need to be depend on others to avoid obstacles or to access the information from the sources. To rectify these problems and gain self-sufficiency, a smart stick was developed for the blind people to assist in moving from one to another location either in indoor or outdoor environments and also to access the information from the sources. In the proposed model, the smart stickconsists of a floor water sensor, pi camera, GPS, and GSM module. The sensor detects the surface’s moisture and notifies the blind person with the help of a buzzer. The Pi camera is capable to capture the images in both day and night time, that the captured image will be processed to extract the features using YOLO, CNN and Local BinaryPattern Algorithm. Once the device detected, the trained data set was matched with the detected substances, it will give an audio message about the type of an object or face of a person orthe amount of currency and it gives step by step instructions to the users to avoid obstacles. By using an GPS Module, the stick also give some random visual experience to the user. For a security mechanism, a GPS module is also attached. In case of any emergency situation, the location of the user and the alert message will notify the guardian through the GSM module. The proposed model majorlyprovides visual experience to the user by analyzing the surroundings in various perspective or by accessing the information efficiently. Also it detect object, currency and the face of the person. It also gives an security in an emergency situation by sending notifications to the guardian and police station