The blind, deaf, and visually impaired are the primary target audience for this endeavor. The device is operated in three modes and each mode has specific operation. The device hosted with RASPBERRY PI coupled with display, keyboard, ear-phone, speaker, micro-phone, camera, GPS, panic button and Braille printing system. To operate these devices Python and RASPBIAN OS are used. The open CV algorithm is used for image processing and TTS is used to convert text to audio. An e-speak is used to read the audio file format which is listened by using an ear-phone and speaker. For Braille printing system KNN algorithm is used for identifying the nearest dot. The given input text is shown on the braille touchpad vibrator by using the KNN algorithm. In our proposed system, if any input text is given, it will show up on the braille touchpad vibrator. And any voice input is given, which is shown on the display. The face can be recognized using a camera by a trained set in Raspberry Pi and tells the name of the person. In this case, the item is located using an ultrasonic sensor. When the panic button is pressed, this system sends an alert message to the authorized person with the current location by using the GPS. This proposed system is a simple solution that can aid the people who are blind, deaf and dumb.