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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. This system 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)

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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)

@ -120,6 +120,7 @@ required to complete them.
| Name | Short Description | Tier |
| ----------------------------------------------------------------------------- | ------------------------------------------------------------------- | ---------- |
| [Attedance Sys.](./Projects/3-Advanced/Face-Recognition-Attendance-System.md) | Face recognition attendance with engagement detection | 3-Advanced |
| [Battleship Bot](./Projects/3-Advanced/Battleship-Bot.md) | Create a Discord bot that plays Battleship | 3-Advanced |
| [Battleship Game Engine](./Projects/3-Advanced/Battleship-Game-Engine.md) | Create a callable engine to play the Battleship game | 3-Advanced |
| [Boole Bots Game](./Projects/3-Advanced/Boole-Bot-Game.md) | Battling Bots driven by Boolean algebra | 3-Advanced |
@ -135,6 +136,7 @@ required to complete them.
| [Movie App](./Projects/3-Advanced/Movie-App.md) | Browse, Find Ratings, Check Actors and Find you next movie to watch | 3-Advanced |
| [MyPodcast Library](./Projects/3-Advanced/MyPodcast-Library-app.md) | Create a library of favorite podcasts | 3-Advanced |
| [NASA Exoplanet Query](./Projects/3-Advanced/NASA-Exoplanet-Query.md) | Query NASA's Exoplanet Archive | 3-Advanced |
| [Poker Night](./Projects/3-Advanced/Poker-Night.md) | Build a real-time multiplayer Texas Hold'em game engine | 3-Advanced |
| [Shell Game](./Projects/3-Advanced/Shell-Game.md) | Animated shell game | 3-Advanced |
| [Shuffle Deck](./Projects/3-Advanced/Shuffle-Deck-App.md) | Evaluate different algorithms for shuffling a card deck | 3-Advanced |
| [Slack Archiver](./Projects/3-Advanced/Slack-Archiver.md) | Archive Slack Messages | 3-Advanced |

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