Co-Founder · Fintech · Edutech

Campuspadi

Started as a way to fix a real problem at ESUT — messy class fee collection and no easy way to track CGPA. CampusPadi now handles both, plus a study layer, and has been live for over a year.

Built With

https://campuspadi.com

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Deliverables

Product Strategy
Payment Collection Systems
CGPA Calculation Engine
Mobile Web Client

Technologies

React.jsTypeScriptLaravelPHPTailwind CSSAI Integrations (Gemini, NVIDIA NIM, Groq)

Live Product

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Overview & Context

CampusPadi is an all-in-one digital ecosystem built to resolve daily academic and administrative friction for university students. The platform replaces unorganized chat groups and paper records with four specialized interfaces:

Class Dues Collection: A student-led payment portal facilitating class levy deposits, transaction receipt generation, and real-time ledger audits.
Academic Progress Dashboard: A personalized space for automated CGPA calculators, GPA trackers, and semester goal logs.
Shared Resource Vault: A peer-to-peer library hosting downloadable lectures, past questions, and course-specific reading materials.
AI Study Assistant: Integrated LLM chat interfaces for parsing class slides, summarizing long research, and generating quiz prep sheets.

What I Engineered

As Co-Founder and Lead Frontend Developer, I spearheaded the client-side design and integration. Key engineering contributions included:

Financial Dashboard UI: Designed and built secure payment confirmation sheets, visual revenue tracking graphs for class treasurers, and transaction logs.
Client-Side Math Engine: Developed the automated CGPA/GPA calculation utilities in TypeScript, verifying score schemas to avoid rounding errors during dynamic GPA recalculations.
Resource Delivery Pipeline: Optimized resource download sheets, integrating visual loader states, file size limits, and WebP previews for course materials.
LLM Chat Interface: Styled and integrated the custom chat interface using Gemini, NVIDIA NIM, and Groq SDKs to stream AI tutor responses.

Challenges & Lessons

Latent Network Resilience: Low-bandwidth campus cellular networks caused page loads to stall. I resolved this by caching critical page data in LocalStorage, implementing offline-first routing fallbacks, and rendering progressive skeletons to improve perceived performance.
Numeric Precision in GPA Logs: Floating-point precision errors in JavaScript led to incorrect GPA displays. I solved this by implementing decimal scaling algorithms to normalize grade math before outputting GPA values, ensuring database accuracy.

Product Screenshots

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LET'S TALK

Let's build something.

I'm currently open to frontend work — SaaS, fintech, edutech, or anything that needs real attention to detail.
If that's you, reach out.

Overview & Context

Class Dues Collection: A student-led payment portal facilitating class levy deposits, transaction receipt generation, and real-time ledger audits.
Academic Progress Dashboard: A personalized space for automated CGPA calculators, GPA trackers, and semester goal logs.
Shared Resource Vault: A peer-to-peer library hosting downloadable lectures, past questions, and course-specific reading materials.
AI Study Assistant: Integrated LLM chat interfaces for parsing class slides, summarizing long research, and generating quiz prep sheets.

What I Engineered

As Co-Founder and Lead Frontend Developer, I spearheaded the client-side design and integration. Key engineering contributions included:

Financial Dashboard UI: Designed and built secure payment confirmation sheets, visual revenue tracking graphs for class treasurers, and transaction logs.
Client-Side Math Engine: Developed the automated CGPA/GPA calculation utilities in TypeScript, verifying score schemas to avoid rounding errors during dynamic GPA recalculations.
Resource Delivery Pipeline: Optimized resource download sheets, integrating visual loader states, file size limits, and WebP previews for course materials.
LLM Chat Interface: Styled and integrated the custom chat interface using Gemini, NVIDIA NIM, and Groq SDKs to stream AI tutor responses.

Challenges & Lessons

Latent Network Resilience: Low-bandwidth campus cellular networks caused page loads to stall. I resolved this by caching critical page data in LocalStorage, implementing offline-first routing fallbacks, and rendering progressive skeletons to improve perceived performance.
Numeric Precision in GPA Logs: Floating-point precision errors in JavaScript led to incorrect GPA displays. I solved this by implementing decimal scaling algorithms to normalize grade math before outputting GPA values, ensuring database accuracy.

Campuspadi