{"id":26644938,"url":"https://github.com/kimchiigu/aisee","last_synced_at":"2026-05-05T21:38:58.457Z","repository":{"id":284146831,"uuid":"953920136","full_name":"Kimchiigu/AiSee","owner":"Kimchiigu","description":"This is our Samsung Innovation Campus Program Source Code for Smart Class with IoT and Computer Vision Integration","archived":false,"fork":false,"pushed_at":"2025-03-24T11:27:40.000Z","size":178,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-24T12:36:06.922Z","etag":null,"topics":["ai","computer-vision","iot","opencv","python","python3","streamlit"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Kimchiigu.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-03-24T09:40:01.000Z","updated_at":"2025-03-24T11:27:44.000Z","dependencies_parsed_at":"2025-03-24T12:46:50.876Z","dependency_job_id":null,"html_url":"https://github.com/Kimchiigu/AiSee","commit_stats":null,"previous_names":["kimchiigu/aisee"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kimchiigu%2FAiSee","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kimchiigu%2FAiSee/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kimchiigu%2FAiSee/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kimchiigu%2FAiSee/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Kimchiigu","download_url":"https://codeload.github.com/Kimchiigu/AiSee/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245352285,"owners_count":20601122,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","computer-vision","iot","opencv","python","python3","streamlit"],"created_at":"2025-03-24T21:21:02.203Z","updated_at":"2026-05-05T21:38:58.424Z","avatar_url":"https://github.com/Kimchiigu.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align=\"center\"\u003e AiSee 🎓🤖 \u003c/h1\u003e\n\n\u003cp align=\"center\"\u003e\n  \u003cimg alt=\"AiSee Logo\" title=\"AiSee\" src=\"assets/aisee-logo.png\" width=\"200\"\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n  AI-Powered Attendance \u0026 Cheating Detection System\n\u003c/p\u003e\n\n---\n\n# AiSee: Smart School System with AI + IoT 🎓🤖\n\nAiSee is an intelligent school attendance system powered by **AI Computer Vision** and **IoT integration**, developed for **Samsung Innovation Campus Batch 6**. The application detects attendance through face recognition and verifies presence throughout the session, while also identifying potential **cheating behavior** through **object detection within boundary zones**.\n\n---\n\n## 🧭 Table of Contents\n\n1. [Project Overview](#project-overview)\n2. [Features](#features)\n3. [Technology Stack](#technology-stack)\n4. [Prerequisites](#prerequisites)\n5. [How to Run Locally](#how-to-run-locally)\n6. [Firebase \u0026 Cloudinary Setup](#firebase--cloudinary-setup)\n7. [Contact](#contact)\n\n---\n\n## 📌 Project Overview\n\n- **Name**: AiSee\n- **Type**: AI + IoT Smart School System\n- **Built For**: Samsung Innovation Campus Batch 6\n- **Focus**: Facial recognition attendance, continuous verification, and cheating detection through object recognition\n- **Modules**:\n  - Real-time face registration and attendance verification\n  - Object detection for cheating activity\n  - Firebase integration for user data\n  - Cloudinary for storing face image datasets\n\n---\n\n## 🔥 Features\n\n- 📷 **Face Registration \u0026 Recognition**\n- ✅ **Live Attendance Verification**\n- 🎯 **Cheating Detection via Boundary Box**\n- ☁️ **Cloud Storage for Images**\n- 🔐 **Firebase Integration for User Management**\n- 🌐 **Streamlit Web Interface**\n\n---\n\n## ⚙️ Technology Stack\n\n### 💡 Core Technologies\n\n- **Python** — Backend logic and CV model integration\n- **Streamlit** — Interactive web-based UI\n- **OpenCV** — Face detection and cheating detection\n- **Firebase** — Cloud database for user metadata\n- **Cloudinary** — Cloud image storage\n\n### 🧠 Computer Vision\n\n- **Face Detection \u0026 Recognition**\n- **YOLO / Haar Cascades / Custom Model** for cheating detection\n\n---\n\n## ✅ Prerequisites\n\nMake sure these are installed on your machine:\n\n- [Python 3.8+](https://www.python.org/)\n- [Streamlit](https://streamlit.io/)\n- [Git](https://git-scm.com/)\n- Cloudinary \u0026 Firebase credentials\n\nInstall required libraries:\n\n```bash\npip install -r requirements.txt\n```\n\n---\n\n## 🚀 How to Run Locally\n\n### 1. Clone the Repository\n\n```bash\ngit clone https://github.com/YourUsername/aisee.git\ncd aisee\n```\n\n### 2. Setup `.env` File\n\nCreate a `.env` by copy the `.env.example` file at the root of the project with the following:\n\n```env\nFIREBASE_API_KEY=\nFIREBASE_AUTH_DOMAIN=\nFIREBASE_PROJECT_ID=\nFIREBASE_STORAGE_BUCKET=\nFIREBASE_MESSAGING_SENDER_ID=\nFIREBASE_APP_ID=\nFIREBASE_MEASUREMENT_ID=\nCLOUDINARY_CLOUD_NAME=\nCLOUDINARY_API_KEY=\nCLOUDINARY_API_SECRET=\n```\n\n### 3. Run the Streamlit App\n\n```bash\nstreamlit run main.py\n```\n\n---\n\n## ☁️ Firebase \u0026 Cloudinary Setup\n\n### Firebase (Firestore + Auth)\n\n- Go to [Firebase Console](https://console.firebase.google.com/)\n- Create a project and enable Firestore Database\n- Add a web app and get the configuration keys\n- Enable Authentication → Email/Password\n\n### Cloudinary\n\n- Go to [Cloudinary](https://cloudinary.com/)\n- Create an account and get your API Key, Secret, and Cloud Name\n- Set them in the `.env` file as `CLOUDINARY_URL`\n\n---\n\n## 📬 Contact\n\nFeel free to open issues or contact me if you need help setting it up!\n\n\u003e Made with 💙 for the Samsung Innovation Campus Batch 6\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkimchiigu%2Faisee","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkimchiigu%2Faisee","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkimchiigu%2Faisee/lists"}