Back close

A smartphone-based assistive technology for visually impaired children in India

Project Incharge : Dr. Aiswarya S. Kumar

A smartphone-based assistive technology for visually impaired children in India

Students with visual impairments are more likely to be excluded or ignored from mainstream schooling, especially in low and middle-income countries. The literacy rate among children with disabilities is inferior compared to their able-bodied peers in developing nations. The World Bank estimates that children with any disability are five times more likely to be ignored from education than children without disability. Studies and reports are available that smartphones are used successfully for educational purposes by students with visual disabilities in India, where screen readers like TalkBack are most frequently used. But such softwares will not be enough to fully support visually impaired children in their education. With this project, we aim to come up with a smartphone-based technology for visually impaired (partially/completely) students to assist them in academic activities and thereby open doors to all education, employment, and business opportunities for them.

Related Projects

Autonomous Wheelchair with Negative Pressure Isolation Hood (21-COV1-071)
Autonomous Wheelchair with Negative Pressure Isolation Hood (21-COV1-071)
Synthesis of Intermediate Analogues for Biologically Active Molecules
Synthesis of Intermediate Analogues for Biologically Active Molecules
A Microgrid Research Laboratory : With a view – Transition towards Smartgrid Prototype Development
A Microgrid Research Laboratory : With a view – Transition towards Smartgrid Prototype Development
Synthesis and Characterization of Novel Porphyrins with Different Chromophores for Developing Optoelectronic Materials and Devices
Synthesis and Characterization of Novel Porphyrins with Different Chromophores for Developing Optoelectronic Materials and Devices
Agriculture Named Entity Recognition using Weighted Distributional Semantic Model
Agriculture Named Entity Recognition using Weighted Distributional Semantic Model
Admissions Apply Now