EYE MATE : A REAL-TIME VISUAL ASSISTANT

Supervisor:

Asst.Prof. Dinla O K

Team Members

Fathimathul Shahala M K (STM20CS027)
Aswathi V K (STM20CS021)
Devika K P (STM20CS024)
Agna P (STM20CS004)

Description

The goal is to empower visually impaired individuals to navigate
independently and access information.
The application uses advanced image processing and machine learning
techniques to translate the visual world into an audio world.
It notifies users about objects, human faces, and text through audio
feedback, enhancing their awareness of their surroundings.
The application also provides food recommendations based on captured
images.
Focuses on delivering high accuracy and optimal performance to overcome
previous limitations in similar solutions.
It aims to improve the world for visually impaired individuals by enhancing
their mobility and independence through advanced technology.