AI Agent Designer Projects in BengaluruAI Agent Designer Projects in BengaluruANANTA — An Infinite Universe Where Every Thought Becomes Light ✨
An immersive interactive experience inspired by the Sri Kopeshwar Temple of Maharashtra and the Hoysala architecture of Halebeedu, Karnataka.
Users write their thoughts on an ancient palm-leaf manuscript and release them into the universe, where they become stars and illuminate deepas (oil lamps) in a shared constellation of anonymous human emotion.
Built with Figma Design, Figma Make, and Figma Weave, ANANTA explores how architecture, storytelling, AI workflows, motion, and sound can transform interaction into ritual.
Some thoughts are too beautiful to stay inside us.
Design Note:
ANANTA is built as a cinematic interactive experience rather than a conventional interface. The first visit may take a few moments to load its assets, after which the experience becomes seamless. The brief pause is intentional to preserve the richness of the environment, motion, and sound.
#ConfigMakeathon
Submissions-
1) Live link: https://chant-hacks-15909075.figma.site/
2) Community link: http://figma.com/community/file/1648705186473125803/ananta-an-infinite-universe-of-quiet-voices?fuid=1476235831950591466
3) Design Journal — The idea, research, and creative journey behind ANANTA: https://docs.google.com/document/d/1lzo_reWa1445AtMxRAyZN3U_twOkBei1/edit?usp=sharing&ouid=109595803400669179852&rtpof=true&sd=true
4) LinkedIn post: https://www.linkedin.com/feed/update/urn:li:activity:7472852516083343360/ Reimagining Sports with AI — Introducing Fitzz
For the Figma Makeathon, I designed Fitzz, an AI-powered application for sports enthusiasts that brings sports discovery, community, performance tracking, athlete ratings, and personalized coaching into one unified experience.
Using Figma Make, I transformed an idea into a fully interactive product by breaking the design process into multiple phases—from ideation and user flows to AI-driven experiences and final visual refinement.
The goal was simple: help people discover sports, stay consistent, improve performance, and grow through AI-powered guidance.
Check it out on Figma Community, It's Live Guys!!
https://www.figma.com/community/file/1649133905560941364/fitzz-mobile-app-design
#FigmaMakeathon #FigmaMake #ProductDesign #UIDesign #UXDesign #AI #SportsTech #DesignChallenge Namma Kutumba Care ❤️
Even when family is far away, family stays with you.
When we were children, our parents and grandparents held our hands and taught us how to live.
But somewhere along the way, technology moved faster than they could keep up.
Missed calls. Confusing remotes. Forgotten medicines. Silent homes.
Not because family stopped caring — but because distance, work, and life quietly came in between.
That feeling inspired me to build Namma Kutumba Care — a retro-inspired care companion for senior citizens who struggle with technology and live independently.
Instead of forcing seniors to adapt to technology, what if technology adapted to them?
✨ How it works
📱 Family scans a QR code to remotely set up care preferences
👨👩👧 Configure family, doctors, medicines, reminders, emergency contacts & wellbeing support
⚡ Everything syncs instantly to the device in real time
Built with Figma Make + Supabase, enabling a connected care experience between family onboarding and the senior companion device.
Features include:
📞 One-tap audio/video family calls
❤️ Live wellbeing updates for caregivers
🚨 Emergency & safety support
👨⚕️ Quick doctor connectivity
🚕 Trusted rides for hospital visits
💊 Gentle medicine reminders
🎵 Familiar songs, bhajans & comfort routines
🌍 Multi-language support
For family, it’s not surveillance or analytics — but a warm daily story of care.
Built for @figma #ConfigMakeathon with one belief:
Technology should adapt to people — not the other way around.
🔗 Figma Make + Supabase Live Prototype — https://above-engine-55177178.figma.site
🎨 Figma Make Community Working File — https://www.figma.com/community/file/1648752487036095974/namma-kutumba-care-by-prakash-a-k-community
🎥 Story About Namma Kutumba Care Video — https://youtu.be/kpzydEioQpM
📱 Live Figma Make + Supabase Demo — Family Care Setup — https://youtu.be/favY8DguYWQ
Would love your thoughts ❤️
@Figma #ConfigMakeathon #AIForGood #SeniorCare #Accessibility #InclusiveDesign #DesignForIndia #HumanCenteredDesign #FigmaMake #Supabase AI-Powered Payments Platform — Operational Command Center for JP Morgan
About: JP Morgan's Payment Blotter was doing its job managing high-value institutional transactions across multiple teams but nobody could actually see what was happening. Layered permissions, fragmented listing logic, and role-based visibility rules that had accumulated over years meant the system provided data but not clarity. Operations associates, client service teams, and back-office stakeholders were all looking at the same platform and interpreting it differently. In a compliance-driven, time-sensitive environment, that ambiguity isn't a UX problem it's operational risk.
What I did: I was the sole designer on a 9-person cross-functional team, responsible for auditing the entire workflow architecture, untangling role-based logic inconsistencies, and redesigning the blotter into a structured operational workspace while simultaneously laying the AI foundation for future enhancements. 12 stakeholder interviews across 4 service locations in US and UK. 3 sprints. One mandate: make a dense enterprise system behave predictably without stripping the depth that power users depend on.
The key insight that drove every decision: in enterprise financial systems, clarity and consistency drive operational performance more than feature depth. The redesign surfaced role-aware access transparently, embedded ticket handling directly into contextual views, and simplified payment state logic so users could identify state faster, understand their access, act from the listing view, and share context without exporting.
Post Launch: Launched and awarded in 2025. Ticket actions down to under 3 minutes. Processing time under 4 minutes. Task satisfaction at 75–80%. Ticket volume per team brought under 2,000. A payment blotter that finally worked like a command center.
