Assistant Professor, Department of Humanities and Social Sciences,
BITS Pilani, Pilani Campus

Amount: INR 20 Lakh, Ongoing
Brief Description of the Project:
This study aims to explore the application of Large Language Models (LLMs) in higher education and K-12 education sectors in India. The project will identify challenges in delivering personalised learning experiences and assess the effectiveness of LLM-based tools in addressing these issues. The study will involve qualitative and quantitative methods, including interviews, focus groups, and pilot deployments in selected communities. The anticipated outcomes include improved student engagement, enhanced learning experiences, and culturally adapted educational materials. The findings will contribute to bridging gaps in digital learning accessibility, particularly in underprivileged and resource-constrained settings.
The proposed project examines the role of women in foreign policy through a focused analysis of the diplomatic contributions of Sushma Swaraj, one of India's most influential female politicians and the second woman to hold the office of Minister of External Affairs. The project aims to document Mrs. Swaraj's leadership role in the External Affairs Ministry, focusing on a few selected themes stemming from her decisions as a post-colonial female leader. The project draws upon post-colonial femininity as the theoretical framework to examine Mrs. Sushma Swaraj's leadership role as she embodied a distinctly Indian, post-colonial feminine identity in her diplomatic role. This project analyzes the diplomatic strategies and leadership qualities that marked Swaraj's tenure, particularly in a male-dominated political landscape.
4. Project Title: Negotiating Identity and Belonging: The Integration Experiences of Second-Generation Indian Immigrant Females in Dublin/Ireland
Project Title: Wearable Visual Assistant with Semantic Feature Recognition and Recommendation System for the Blind and Visually Impaired (BVI) individuals
Funding Organization: AutoNxt Automation Pvt. Ltd., Mumbai, India
Principal Investigator (PI) : Dr. Virendra Singh Shekhawat
Co-Investigator (Co-PI) : Dr. Avinash Gautam
Amount: INR 22.50 Lakh, Duration: 2021-2025
Brief Description of the Project: Design and Development of an end-to-end system, which is a wearable visual assistant that will assist BVI person to achieve orientation and navigation in a large unknown GPS denied indoor environment. An integral component of the system will be recognition and detection of semantic environmental features to improve system efficiency in terms of accurate navigation, search and recommendation provided to the BVI person.
Project Title: Wearable Visual Assistant with Semantic Feature Recognition and Recommendation System for the Blind and Visually Impaired (BVI) individuals
Funding Organization: AutoNxt Automation Pvt. Ltd., Mumbai, India
Principal Investigator (PI) : Dr. Virendra Singh Shekhawat
Co-Investigator (Co-PI) : Dr. Avinash Gautam
Amount: INR 22.50 Lakh, Duration: 2021-2025
Brief Description of the Project: Design and Development of an end-to-end system, which is a wearable visual assistant that will assist BVI person to achieve orientation and navigation in a large unknown GPS denied indoor environment. An integral component of the system will be recognition and detection of semantic environmental features to improve system efficiency in terms of accurate navigation, search and recommendation provided to the BVI person.
Project Title: Wearable Visual Assistant with Semantic Feature Recognition and Recommendation System for the Blind and Visually Impaired (BVI) individuals
Funding Organization: AutoNxt Automation Pvt. Ltd., Mumbai, India
Principal Investigator (PI) : Dr. Virendra Singh Shekhawat
Co-Investigator (Co-PI) : Dr. Avinash Gautam
Amount: INR 22.50 Lakh, Duration: 2021-2025
Brief Description of the Project: Design and Development of an end-to-end system, which is a wearable visual assistant that will assist BVI person to achieve orientation and navigation in a large unknown GPS denied indoor environment. An integral component of the system will be recognition and detection of semantic environmental features to improve system efficiency in terms of accurate navigation, search and recommendation provided to the BVI person.
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