Personal Assistant for Blind People using Artificial Intelligence and Machine Learning |
Author(s): |
| Sanju Gawade , Mahatma Gandhi Mission's College of Engineering and Technology; Anurag Gupta, Mahatma Gandhi Mission's College of Engineering and Technology; Purva Gowari, Mahatma Gandhi Mission's College of Engineering and Technology |
Keywords: |
| Artificial Intelligence, Technology, Machine Learning, API, Libraries |
Abstract |
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In this world of advance technologies, about 20% of the population is suffering from different kinds of disabilities such as visual, physical, or hearing problems, An estimated 253 million people live with vision impairment approx. 36 million are blind and 217 million have moderate to severe vision impairment. It becomes very difficult and hectic for the blind people to some things such as using phone, make call, finding weather condition and reach to exact location and landmark without help for the surrounding environment and people. It is not possible for everyone to takeout time from their busy schedule to help these people. To overcome this problem, we have proposed a personal assistant android app which would use artificial intelligence and machine learning to assist and becomes eye of blind people with the rapid growth of wireless communications, the need for voice recognition techniques has increased greatly. Voice applications based on voice interfaces, voice recognition, and voice dialogue management can help users to be focused on their current work without extra effort for hands or eyes. The proposed system use voice commands to use various function of intelligent android application and also give output as voice. Android application uses different machine learning API and libraries and also include neural network and perform various functions like face detection, face recognition, object recognition, landmark recognition, weather report, navigation, making call and text messages using only voice command. |
Other Details |
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Paper ID: IJSRDV6I70035 Published in: Volume : 6, Issue : 7 Publication Date: 01/10/2018 Page(s): 68-70 |
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