Applied AI
Predictly
A real-estate valuation dashboard that combines market context with transparent, local image-quality signals.
Case study · Web Engineering
Study Hub
Academic resource hub · PWA
A course-resource web app for organizing lecture notes, PDFs, CDFs, and lab manuals with search and study helpers.
01 / Context
The problem
Course materials can be scattered across multiple sources. Study Hub provides a single searchable place for students to find and revisit resources.
My role: Personal/academic project; included in the owner-provided CV. A project-specific repository URL has not been confirmed.
02 / Implementation
How it works
01Organize course content
A searchable resource catalogue gives course material consistent metadata and a simpler discovery flow.
02Support revision
Study helpers can turn selected material into summaries and practice prompts; generated content should be checked against the source material.
Implementation highlights
- Resources organized across four courses
- Search, type filters, favorites, and recently viewed items
- PWA support and password-protected admin workflow
- Optional AI-generated study summaries, quizzes, and viva questions
03 / Evidence
What can be verified
The points below summarize the public repository and owner-provided CV where noted. Read the source for implementation details and the evaluation setup before drawing further conclusions.
Coverage4 courses
CV description of the current resource hub.
04 / Boundaries
Limitations and next questions
- AI-generated summaries or questions may contain errors and require review.
- Resource availability depends on the configured content source and repository access.
- Do not expose administrative credentials or private course materials in a public deployment.
Evidence-first note: a live demo demonstrates an interface and workflow; it does not by itself validate model quality, security, or real-world impact.
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