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Projects/3-Advanced/Face Recognition Attendance System with Engagement Detection.md

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+# Face Recognition Attendance System with Engagement Detection
+
+**Tier:** 3-Advanced
+
+Attendance tracking in classrooms is time-consuming and prone to human error.
+Presenz automates this process using real-time face recognition, detecting not
+only who is present but also whether students are engaged — flagging behaviors
+like phone usage and sleeping with snapshot evidence.
+
+This project challenges the developer to combine computer vision, a real-time
+web interface, and session-based reporting into a single cohesive system.
+
+## User Stories
+
+* User can start a live camera session that detects and recognizes faces in real time
+* User can register student faces into the system before a session begins
+* User views a live dashboard showing attendance status for each recognized student
+* User can see flagged events (phone usage, sleeping) with timestamps and snapshot images
+* User can export attendance records for a session as a CSV file
+* Attendance is automatically marked absent when a flagged behavior is detected
+
+## Bonus features
+
+* User can set a minimum attendance threshold and receive an alert when a student falls below it
+* User can view session history with per-student engagement scores over time
+* User can support multiple classrooms with separate student rosters
+* Admin can add or remove students from the system without restarting the server
+* System sends an email or SMS notification to flagged students after a session
+
+## Useful links and resources
+
+* [OpenCV Haar Cascade face detection](https://docs.opencv.org/4.x/db/d28/tutorial_cascade_classifier.html)
+* [LBPH face recognizer](https://docs.opencv.org/4.x/df/d25/classcv_1_1face_1_1LBPHFaceRecognizer.html)
+* [YOLOv8 object detection](https://docs.ultralytics.com/)
+* [Flask-SocketIO for real-time communication](https://flask-socketio.readthedocs.io/)
+* [Head pose estimation with OpenCV](https://learnopencv.com/head-pose-estimation-using-opencv-and-dlib/)
+
+## Example projects
+
+* [Face Recognition Attendance System with Engagement Detection](https://github.com/nhsync/Face-Recognition-Attendance-System-With-Engagement-Detection)

Projects/3-Advanced/Poker Night.md

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+# Poker Night
+
+**Tier:** 3-Advanced
+
+Multiplayer card games require careful state management, real-time
+communication, and fair game logic running server-side. Poker Night is
+a fully browser-based Texas Hold'em game supporting 2 to 8 concurrent
+players with no database dependency — all game state lives in memory
+and is synchronized via WebSockets.
+
+This project challenges the developer to implement a complete poker hand
+evaluator, a turn-based state machine, and a real-time multiplayer
+experience from scratch.
+
+## User Stories
+
+* User can create a game room and share a room code with friends
+* User can join an existing room using a room code
+* User sees their own hole cards and the shared community cards on the table
+* User can perform all standard poker actions: fold, check, call, raise
+* User views a live list of all players, their chip counts, and current bet
+* User is shown the winner and their hand rank at the end of each round
+* Game enforces turn order and rejects out-of-turn actions
+* Game supports 2 to 8 players in a single room
+
+## Bonus features
+
+* User can set a starting chip count and blind structure when creating a room
+* Spectator mode allows users to watch a game without playing
+* User sees an animated card deal and chip movement for each action
+* Game handles disconnections gracefully by auto-folding the disconnected player
+* User can view a hand history log for the current session
+* Leaderboard tracks chip counts across multiple rounds in a session
+
+## Useful links and resources
+
+* [Texas Hold'em rules](https://www.pokerstars.com/poker/games/texas-holdem/)
+* [Poker hand rankings](https://en.wikipedia.org/wiki/List_of_poker_hands)
+* [Socket.IO documentation](https://socket.io/docs/v4/)
+* [Building a card game state machine](https://statecharts.dev/)
+* [Evaluating poker hands programmatically](https://medium.com/@geekgirl907/poker-hand-evaluator-54a00c8e3b3d)
+
+## Example projects
+
+* [Poker Night](https://github.com/nhsync/poker-night)