• Sneha Kumari Sinha
• Misbah Sirnaik
• Priyanka Surnashe
• Rachana Dhannawat

Visual impairment, also known as vision impairment or vision loss, is a decreased ability to see to a degree that causes problems not fixable by usual means, such as glasses. This project propose to build a model that is able to help the visually impaired individuals with an Object Detecting Eye Wear and Smart Stick which that can detect obstacle in the range of 20 cm and 30 cm respectively. A Deep Learning Model is proposed which can automatically describe the content and description of an picture using properly formed sentences using VGG-16 and LSTM models. This Image Captioning comes along with a Multi-lingual support structure i.e., English and Hindi for better understanding of the environment description. Lastly, this project proposes an Android Multi-featured Mobile Application will provide various service to the visually impaired with Voicebased Feedback Mechanism to ease their task.

Object Detecting Eye Wear, Smart Stick, VGG-16, LSTM, Voice-based Feedback.

"DRISHTI- A Vision to Help the Visually Impaired", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.b811-b819, June-2021, Available :http://www.jetir.org/papers/JETIR2106256.pdf

"DRISHTI- A Vision to Help the Visually Impaired", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppb811-b819, June-2021, Available at : http://www.jetir.org/papers/JETIR2106256.pdf