My Work
I've poured my heart and soul into crafting designs that not only meet objectives but also push my boundaries.
Thank you for taking the time to explore my projects. I hope you find them insightful, inspiring, and perhaps even a little bit thought-provoking.
01
Ethnographic Research
This ethnographic study explores emotional experiences of prosthetic users across life stages, identifying stakeholders and areas for improvement to enhance overall user experience.
02
LinkedIn Accessibility
LinkedIn for Differently Abled makes workplaces more inclusive. We suggest design changes and test UI screens thoroughly to ensure they're easy to use for people with physical disabilities.
03
Food Donation App
To understand the attitude of caterers and potential donors towards the utilization of excess food by donating it and envisioning a design solution to manage excess food more efficiently.
04
IRCTC Redesign Concept
The mission of the project was to rethink the layout, arrangement, visual order, hierarchy, flow, and navigation and adjust it to modern standards.
05
Ed Tech SAAS Dashboard
This project involves designing a user interface for a SAAS dashboard tailored for educational institutes. The dashboard provides administrators, faculty, and students with easy access to academic and administrative information.
06
Groceries Delivery App
An e-commerce app that emphasizes local stores and category-based shopping. This platform prioritizes trust and personal connections by highlighting shop owners, enabling users to support local businesses while enjoying the convenience of online grocery shopping.
07
Tangible Interaction Design
This project aims to suggest concepts on enhancing interaction experience of gardening with the used of technology such as - Arduino sensor & AR.
08
Thirsty AI
As part of a 36-hour designathon organized by NID, I focused on the water footprint aspect of AI. It was discovered that for every 5-20 prompts, AI requires 500 mL of water. This raises questions about the environmental impact of AI usage. Exploring such implications is crucial for sustainable AI development.
