Problem
Underserved communities may face barriers to accessing financial services and personalized banking guidance.
Fintech / AI Analytics
Banking that includes everyone.
A financial inclusion banking app designed to support underserved communities using AI-driven insights and personalized recommendations.
Underserved communities may face barriers to accessing financial services and personalized banking guidance.
Medad promotes financial inclusion through a banking app concept that uses AI-driven insights, intelligent dashboards, and personalized recommendations.
AI & Dashboard Developer
Medad shows how AI can make financial services more inclusive and personalized.
My role
Responsibilities focused on shaping the solution, connecting technical choices to user needs, and helping move the idea into a coherent working concept.
Technical architecture
Each case study is grounded in a practical technical approach, from local AI knowledge design to cloud-native analysis and behavioral analytics.
User & spend data
01AI analytics
02Personalized insight
03Inclusive guidance
04Engineering notes
Decisions
The choices that mattered most — and the thinking behind each one.
Designed the experience around underserved users who are usually an afterthought in banking products — the people who need guidance the most.
Turned analytics into clear, personalized recommendations through dashboards, instead of handing people raw numbers to decode.
Key features
Impact
Medad shows how AI can make financial services more inclusive and personalized.
Inside the product
A handcrafted preview of the experience — drawn to show the idea, not a stock screenshot.
Inclusion
Built for the underserved
Power BI
Insight dashboards
Personalized
AI recommendations
Related projects
Move through the portfolio by domain, role, and technical approach.
VR / AI Education
An immersive VR and AI educational experience for exploring the universe through dynamic AI-generated content.
View case studyComputer Vision / Operations / Safety
A computer-vision system that watches stadium gate zones in real time, flags crowding before it becomes dangerous, and recommends how to redistribute staff.
View case study