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AWS Cloud Practitioner
Amazon Web Services
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04 — Selected Work
Six products.
Six products.
Real users.
Scholar
Scholarship intelligence platform — from raw documents to personalised funding strategies.
Problem
Students waste hours searching fragmented databases with no eligibility guidance — zero personalisation, zero strategy.
Solution
AI that parses CVs, transcripts & SOPs; matches profiles to real opportunities; tracks deadlines end to end.
Result
Hours of research replaced by a structured, personalised pipeline. Strategy, not just search.
Next.jsGemini APISupabaseLlamaCloudStripe
InsightFlow
Books turned into actionable intelligence — AI summaries, audio playback, streaks, learning paths.
Problem
People buy books, don't finish them, retain nothing. No tool made reading measurable and genuinely sticky.
Solution
AI-assisted summaries, TTS audio, streak tracking, highlights, personalised recommendations — all in a mobile-first UI.
Result
Reading became a habit with metrics. Users get AI key takeaways, learning paths, and progress analytics.
ReactViteTypeScriptSupabase
Sheet2SaaS
Your spreadsheet is already your database — we just made it a product.
Problem
Businesses run on spreadsheets but can't share or analyse them without technical overhead.
Solution
Upload any CSV: get charts, filterable tables, AI chat analyst, smart data cleaning, column generation, and public sharing. Free & Pro tiers via Stripe.
Result
Spreadsheets become shareable SaaS dashboards in under a minute with Web Worker performance.
Next.jsSupabaseGemini APIStripe
StudyMate
AI study assistant — uploads become quizzes, flashcards, summaries, and study plans.
Problem
Students juggle five separate tools — notes, flashcards, quizzes, planner, AI chat — and still feel unprepared.
Solution
One platform: upload materials → AI quizzes, spaced-repetition flashcards, concept glossaries, summaries, planner, and analytics.
Result
Five-tool sprawl collapsed to one. Students get a personalised study loop — upload, learn, test, track.
Next.jsOpenAI APIPostgreSQLTailwind
MINEBOTUMaT
Student helpdesk bot for UMaT. Ask it anything about the campus and it answers.
Problem
UMaT students have no quick way to get answers about campus services, schedules, or admin processes without walking to an office.
Solution
A Telegram bot and web interface that handles common student queries, routes them intelligently, and responds instantly.
Result
Students get answers on the spot via Telegram or browser. No queue. No office hours dependency.
Telegram Bot APIPythonReplit
Uni Medi Trend
AI-based analytics dashboard for predicting student clinic visits and illness risk profiles at UMaT.
Problem
Campus health facilities lack actionable, predictive insights into student illness trends, making resource allocation reactive rather than proactive.
Solution
Built a full-stack data pipeline. Trained K-Means models for hostel risk clustering, and Random Forest/Linear Regression models for 4-week visit forecasting.
Result
Deployed a Streamlit dashboard with a MongoDB backend that visuals calendar-year KPIs, diagnosis breakdowns, and predictive illness trends.
StreamlitPythonMongoDBScikit-Learn
