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A curated list of original projects built by students of the UNIPDS Software engineering with Applied AI Engineering pos
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.
Language / runtime
🐍 – Python📇 – TypeScript / JavaScript🏎️ – Go🦀 – Rust#️⃣ – C#☕ – JavaScope
☁️ – Calls external / cloud APIs🏠 – Runs fully locally🔗 – Integrates two or more services[!NOTE] Projects are listed alphabetically within each category.
MCP servers that extend AI assistants with new tools and capabilities.
alvesribeirof/architecture-analysis-mcp #️⃣ 🔗 – MCP server for architectural code analysis focusing on SOLID principles, Design Patterns, and immediate feedback to the developer. by @alvesribeirof
barateza/mcp-plesk-dev-docs 🐍 🏠 🔗 – MCP server that provides AI agents with local access to Plesk developer documentation. by @barateza
JeisonSilva/mcp-OmniMatch 📇 🏠 – MCP server that maps Angular screens to .NET Web API endpoints, accumulates extracted schemas in SQLite across multiple tool calls, and evaluates frontend–backend field and type compatibility — at zero LLM API cost. by @JeisonSilva
JeisonSilva/consultor-contas 📇 ☁️ 🔗 – MCP server that exposes a real estate budget analysis tool: reads property cost CSVs (IPTU, condominium fees, insurance), filters and ranks properties via a LangGraph planner–responder pipeline, and answers natural-language queries via OpenRouter. by @JeisonSilva
s3b4hjr/philosophy-mcp 🐍 ☁️ - MCP server for a multilingual philosophy corpus — glossary, syntheses, thinker profiles, and articles in Portuguese, English, and Spanish. by @s3b4hjr
Autonomous agents that accomplish multi-step tasks using LLMs.
📇 ☁️ 🔗 – Multi-agent LangGraph chatbot that guides patients through medical appointment scheduling, lookup, and cancellation, with session and booking persistence via PostgreSQL. by @JeisonSilva📇 🔗 – AI scheduling assistant that classifies natural-language intents via LangGraph + OpenRouter to manage Pokemon lesson enrollments, bookings, and recommendations. by @SyanCS📇 🔗 – Real estate research platform with three LangGraph pipelines for feature extraction from notes, natural-language property ranking, and Neo4j GraphRAG similarity search. by @SyanCSTypeScript AI Agent – LangGraph agent that conducts job interviews with four distinct personalities, evaluates answers silently, and delivers dramatic feedback. by @matheusmschaffer🐍 🔗 – Local credit card fraud detection platform with FastAPI, PostgreSQL, Docker, a web dashboard, model training workflows, sequence-based ML inference, transaction import, risk scoring, and optional LLM-powered fraud analysis. by @MarceloSoiber📇 ☁️ – AI agent that connects to GitHub, automatically fetches open Pull Requests, and analyzes them in real time to detect security vulnerabilities, performance bottlenecks, and technical debt, providing intelligent fix suggestions before they reach production. by @odairmichaelbendottiWeb applications and browser-based experiences powered by machine learning or AI.
📇 🏠 – Board game recommendation system using TensorFlow.js for server-side machine learning with Next.js. by @Biaginibe📇 🏠 – Adaptation of the Eclipse game integrating a YOLOv5n neural network running with TensorFlow.js inside a Web Worker. by @DiogoOrdine📇 🏠 – Pixel art Flappy Bird game with an AI that trains itself in the browser using Canvas 2D and TensorFlow.js. Live demo. by @Douglas-sm📇 ☁️ 🔗 – Intelligent document search system with GraphRAG: reads PDF/XML files, creates knowledge graphs in Neo4j, and answers questions using semantic search + LLMs with automatic fallback across multiple free models. by @ElizioMartins📇 🏠 – Social class classifier neural network trained and executed entirely in the browser using TensorFlow.js, predicting socioeconomic tiers (A–E) based on user-provided attributes. 🌐 Live demo by @me-wsantos📇 🏠 – AI-powered PWA for local service discovery that uses on-device TensorFlow.js embeddings to rank nearby providers (electricians, plumbers, mechanics) by semantic similarity, geographic proximity, and behavioral compatibility. by @rdiegoss📇 🏠 – AI-first dog breed recommendation app that trains a TensorFlow compatibility classifier, persists model artifacts in PostgreSQL, and serves ranked recommendations from a browser web worker with a rule-based fallback. by @SyanCS📇 🏠 – 1920s barkeep chatbot that runs fully in-browser on Chrome's on-device Gemini Nano (Prompt API) — multimodal cocktail suggestions, substitutions, scaling, and drink fixes with no backend or API keys. by @SyanCS📇 🏠 – Pre-literacy educational game for children that teaches the Portuguese alphabet using voice recognition and adaptive AI. by @thabata-marchi📇 🏠 – Social class classifier neural network trained and executed entirely in the browser using TensorFlow.js, predicting socioeconomic tiers (A–E) based on user-provided attributes. 🌐 Live demo by @wsantos-ai📇 🏠 – Web tool for static analysis of GitHub repositories to detect exposure of personal data (PII) and sensitive credentials in source code. 🌐 Live demo by @wsantos-ai🐍 & 📇 🏠 – Online Paulista Truco game against AI. You can play against the AI and watch the AI training in real time. Line demo. by @lgfauth📜 ☁️ – Open source gamified quiz platform with real-time rooms, global rankings, asynchronous matches, and AI-powered quiz generation. by @kurybr📇 🏠 🔗 – A RAG assistant that answers questions based on course materials from the Graduate Program in Software Engineering with Applied AI. by @gil-gam📇 🏠 – A prototype game search/recommendation system based solely on game descriptions. It uses the Universal Sentence Encoder algorithm with Tensorflow, and run your "game vibe" comparison based on the descriptions. The web app fetches a pre-processed games list, calculates the embeddings for each game (directly in the browser), where then you can search by a given a type of scene or mood. by @andreferrazProjects that connect services, automate workflows, or react to events.
barateza/dubweave 🐍 🏠 🔗 – Complete and local video dubbing pipeline for Brazilian Portuguese with GPU acceleration. by @barateza
mjunior/whatsapp-ai-pix-agent 📇 🔗 – An AI agent that charges my wife via PIX when she asks for favors on WhatsApp. by @mjunior
iran-gregorio/project-aegis 📇 🔗 - An intelligent chatbot designed to analyze sentiment and handle aggression on WhatsApp. ** by @iran-gregorio**
nogueira-araujo/IReadThis.Recommender #️⃣ 🏠 – AI recomendation API totally developed in C# using the side-car pattern to acoplish into an existent legacy system. by @nogueira-araujo
mabittar/banking-llm 🐍 ☁️ 🔗 – Intelligent conversational assistant for banking integration, using LangGraph for flow orchestration with LLM. by @mabittar
CLIs, libraries, helpers, and developer tools powered by AI.
📇 🏠 – Population Predictor using IBGE demographic data and Machine Learning. by @ElizioMartins📇 ☁️ – Production-grade Node.js RAG system with hybrid retrieval, pluggable adapters, and OpenTelemetry tracing. by @ftonato📇 ☁️ 🔗 – AI-powered tutor for the Applied AI Engineering course: atomic Obsidian-compatible knowledge base, RAG pipeline with pgvector, MCP server for IDE integration, and a Socratic agent that challenges students to think deeper. by @sayymon📡 🪲 - An integrated React Native DevTools with console, networking, native metrics and more, powered with an MCP for AI-assisted debugging. by @lucas-figueiredo-m🐍 🏠 – Hands-free scrolling driven by eye closure (left eye up, right eye down) using the webcam, MediaPipe Face Landmarker, and PyAutoGUI, with blink filtering and “look straight” gating. by @ftuyama📇 ☁️ 🔗 – RAG pipeline that ingests PDFs into Neo4j using local HuggingFace embeddings and answers natural-language questions via OpenRouter LLMs. by @JeisonSilva📇 🏠 - Analyzes GitHub Pull Requests,analyzes GitLab and GitLab Merge Requests, collects the PR/MR or commit diff, sends the code to AI via OpenRouter, and displays found issues and suggestions by @Brunoolliveira1993#️⃣ ☁️ - ASP.NET Core API for AI features focused on RAG (Retrieval-Augmented Generation), enabling document upload and indexing (.md and .pdf), semantic chunk search with Elasticsearch, and context-aware question answering using OpenAI. by @andremenegassi🐍 🔗 – A tool for analyzing YouTube video satisfaction through comments using MCP, RAG, LLM. by @etrappAnything that doesn't fit neatly into the categories above.
📇 ☁️ 🔗 – Offline-first Flutter app delivering child-safe explosive risk education (EORE) for UNICEF Mozambique, with multilingual support (PT/Swahili/Makhuwa/Makonde), on-device SQLite, gamified lessons, and a humanitarian analytics dashboard. by @L1134See CONTRIBUTING.md for submission guidelines.
Questions? Open an issue or reach out on the course community channel.
A special thanks to all our amazing contributors 💚🇧🇷
MCP server integration for DaVinci Resolve Studio
Run Claude Code as an MCP server so any agent can delegate coding tasks to it
@microsoft✓ OfficialBrowser automation using accessibility snapshots instead of screenshots
A Jetbrains IDE IntelliJ plugin aimed to provide coding agents the ability to leverage intelliJ's indexing of the codeba