IOT and NLP based Voice Assistant for Visual Impaired People
The visual impaired face a lot of limitations in today's culture where independence is crucial. The blind suffer from a disadvantage since they have to receive manual assistance to explore their surroundings. In addition to walking, eating, conversing with a group of people, etc., it can be challenging for someone with impaired vision to accomplish many necessary daily tasks. There has been a significant increase in the potential of artificial intelligence (AI) over the past few years because many professions require visual information. A voice assistant can converse with humans in natural language through cloud computing, and they unify AI through natural language processing.A voice assistant is most commonly used in smart speakers. In order to determine whether there is a connection between voice assistants and smart speakers and mental health, the study examined how voice assistants and smart speakers are used in daily life. In order to assist the blind, this test could serve as a study for a variety of computational, speech-recognition, and image-recognition approaches. Using Android smartphones, people who are blind can interact with their surroundings using voice commands, environment recognition, and feedback. The proposal is designed to create a single device solution that is simple, fast, accurate, and cost-effective. A number of remedies have been put forward after thorough research into each issue. However, all problems are not resolved simultaneously. A visionblind individual can see, hear, and speak with the technology, increasing their independence and confidence. People with visual impairments frequently seek outside assistance while making judgments. This proposal aims to aid blind people in overcoming their lack of visual perception by utilizing other senses, such as sound and touch.
Authors
- Manjushri Abhishek Kadam (ORCID: https://orcid.org/0000-0001-5665-5987)
- Mohit Tiwari (ORCID: https://orcid.org/0000-0002-0384-3308)
- Veeramalai Sankaradass (ORCID: https://orcid.org/0000-0001-9199-495X)
- Sampada Gulavani (ORCID: https://orcid.org/0000-0001-7952-3039)
- Kirti Rahul Kadam
- Neeraj Kumar (ORCID: https://orcid.org/0000-0002-0951-6164)
Institutions
- Doon University (IN)
- Bharati Vidyapeeth (Deemed to be University) (IN)
Publication Details
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1109/icdsaai65575.2025.11011637
- Primary Topic
- IoT and GPS-based Vehicle Safety Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00