Skillget

awesome-unipds-projects

agent
Guvenlik Denetimi
Uyari
Health Uyari
  • No license — Repository has no license file
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Community trust — 110 GitHub stars
Code Uyari
  • Code scan incomplete — No supported source files were scanned during light audit
Permissions Gecti
  • Permissions — No dangerous permissions requested
Purpose
This is a curated list (awesome-list) showcasing original projects built by students of a specific postgraduate software engineering course. It serves as a directory linking to various external repositories, such as AI agents and MCP servers, rather than being an installable tool or code library itself.

Security Assessment
Overall Risk: Low. Because this repository contains only a README document and no executable source code, it does not access sensitive data, execute shell commands, or make hidden network requests. The code scan was incomplete because there are no supported source files to audit. No dangerous permissions or hardcoded secrets were found. However, developers should be aware that it links to external student projects—each of those repositories must be evaluated individually for security before use.

Quality Assessment
The repository is actively maintained, with its last update pushed today. It demonstrates a solid level of community trust, having accumulated 110 GitHub stars. The README is well-structured, clearly explaining its purpose and how to contribute. The main drawback is the complete absence of a license file. While standard for simple link directories, the lack of a license means the rights to use, modify, or share the contents of the repository are technically undefined.

Verdict
Safe to use as an inspirational catalog, but exercise caution and perform individual security audits on any external projects you choose to download from this list.
SUMMARY

A curated list of original projects built by students of the UNIPDS Software engineering with Applied AI Engineering postgrad course.

README.md

Awesome UNIPDS Projects 🎓

A curated list of original projects built by students of the UNIPDS Software engineering with Applied AI postgrad course.

[!IMPORTANT]
This is a showcase of original student work. Projects inspired by course concepts are welcome, but must be brand new creations — not copies of exercises demonstrated in class.

Want to add your own? See CONTRIBUTING.md.

Table of Contents

Legend

Language / runtime

  • 🐍 – Python
  • 📇 – TypeScript / JavaScript
  • 🏎️ – Go
  • 🦀 – Rust
  • #️⃣ – C#
  • ☕ – Java

Scope

  • ☁️ – Calls external / cloud APIs
  • 🏠 – Runs fully locally
  • 🔗 – Integrates two or more services

Projects

[!NOTE]
Projects are listed alphabetically within each category.

🔌 MCP Servers

MCP servers that extend AI assistants with new tools and capabilities.

🤖 AI Agents

Autonomous agents that accomplish multi-step tasks using LLMs.

  • SyanCS/pokemon-training-center 📇 🔗 – AI scheduling assistant that classifies natural-language intents via LangGraph + OpenRouter to manage Pokemon lesson enrollments, bookings, and recommendations. by @SyanCS
  • SyanCS/alvorada_real_estate 📇 🔗 – Real estate research platform with three LangGraph pipelines for feature extraction from notes, natural-language property ranking, and Neo4j GraphRAG similarity search. by @SyanCS

🌐 Web Apps & Games

Web applications and browser-based experiences powered by machine learning or AI.

⚡ Integrations & Automations

Projects that connect services, automate workflows, or react to events.

🛠️ Tools & Utilities

CLIs, libraries, helpers, and developer tools powered by AI.

No projects yet — be the first to submit one!

📦 Other

Anything that doesn't fit neatly into the categories above.

No projects yet — be the first to submit one!

Contributing

See CONTRIBUTING.md for submission guidelines.
Questions? Open an issue or reach out on the course community channel.

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