Conversation with Merlin [email protected] · Fri Dec 15 2023

for a fourth year BE Project in Engineering we have built a digital academic passport basically a college management system which includes:

  1. Student Management: personal info, dashboard, or form, academic details, extracurricular and lot
  2. teacher dasbiard: student info access, personal info of teacher, notice section , batch making dashbaodr for teacher guardian
  3. admin and HOD Dasboard the web app is based on MERN Stack and we want to integrate attendance management of students including theory, lab attendance with charts also Can you please tell us how to do it as a expert in MERN stack and also guide us through the steps required code the attendance management should be reliable to 700-800 students

Integrating an attendance management system into your existing MERN stack college management system requires attention both the frontend (React) and the backend (Node.js, Express, and MongoDB). You will need to manage student and teacher interactions with the attendance data and visualize this with charts. Here’s a step-by-step guide to help you through process:

1. Database Design

Start by designing your MongoDB schema to accommodate attendance records.

Attendance Schema Example:

const AttendanceSchema = new mongoose.Schema({ studentId: { type: mongoose.Schema.Types.ObjectId, ref: 'Student', required: true }, date: { type: Date, required: true }, period: { type: String, enum: ['Theory', 'Lab'], required: true }, present: { type Boolean, required: true }, subject: type: String, required: true } // More fields can be included as per requirement

Here, studentId references the Student collection, and you have fields for date, period (like theory or lab), presence status, and the subject nameStudent Schema Modification: If not already present, ensure there is a reference to attendance records in the Student schema.

2. Backend Setup

Write APIs to handle CRUD operations for attendance.

Create Attendance Record API:

  • Endpoint could be POST /api/attendance
  • Accept details like student ID, date,, and presence status.
  • Make sure to provide proper authentication and authorization to secure your data.

Fetch Attendance Records API:

  • Endpoint could be GET /api/attendance/:student
  • Retrieves attendance for a specific student.
  • Could be filtered further by date range or subject.

3. Frontend Changes

In your React application, implements for different roles.

For Students:

  • A dashboard to view their own attendance record.
  • Use chart libraries like Chart.js or Recharts to visualize attendance data.

For Teachers:

  • A dashboard to mark attendance for students.
  • Possibly an interface to view attendance analytics (like percentage present per week).

For Admin/HOD:

  • A management page to oversee all attendance data.
  • to approve or modify attendance records if required.

4. Marking Attendance

Create a UI component (such as a form or table) that allows teachers to mark present or absent.

Bulk Attendance Option:

  • Consider a feature that allows marking the entire class or batch (especially for theory classes).
  • Have checks to prevent accidental marking and easy ways to correct mistakes.

5. Attendance Analytics

Implement analytics features using aggregation queries in MongoDB to compute attendance statistics.

Creating Charts: Use a React chart library to display attendance data on the frontend.

// Aggregation example for attendance percentage per subject Attendance.aggregate([ { $match: { studentId: /* specific studentId */ } }, { $group: { _id: '$subject', totalClasses: { $sum: 1 }, attendedClasses: { $sum: { $cond:present', 1, 0] } } }}

6. Attendance Verification

When handling a large number of students, ensure your attendance marking is accurate.

  • Review systems to allow to contest errors.
  • Time stamps to track when attendance was marked.

7. Testing

Thoroughly test your attendance management with mock data.

  • Simulate cases for individual students and large batches.
  • Ensure performance is not hindered with extensive data.

8. Deployment

Once everything is tested, deploy the changes to your live carefully.

  • Preferably introduce the new feature when attendance marking is not critical, to allow for adjustment time.

Additional Tips:

  • User Validation: Make sure to properly validate the user input to prevent any corrupt data entry.
  • Scalability: Consider using indexing in MongoDB for fields that you query often, this ensures scalability.
  • Documentation: Document your APIs and functions which will be useful for future developers.
  • Error Handling: Robust error handling on both the client and server sides for a seamless user experience.
  • Authentication and Security: Secure your APIs against unauthorized access.

With a project this size, ensure that you have version control (such as git) in place, and consider implementing continuous integration/deployment (CI/CD) for smoother transitions. Keep in mind the importance of responsive designs if your app is going to be accessed across various devices, and accessibility to make sure all students and faculty can use your system with ease.

Implement a Face Recognition Attendance System with face-api.js Part IIIThis is the last episode about the code implementation, continued from Implement a Face Recognition Attendance System with face-api.js Part II. For this application, I named it as Attendlytical that I selected from random title generation software. Due to the code complexity, I will mainly focus on the face recognition process instead of the overall functionality of the application.Lets get started!Database ManagementFirst of all, please go to https://www.mongodb.com/ and register a free-tier account, then create the database cluster.MongoDB is a non-relational database which is manage the data in the document-based/JSON-like structure. In the database, we can create multiple collections (called Table in SQL) according to our needs.I have created a cluster named Attendlytical as shown below. We do not need to create the collections here because the database will automatically create the collections for us.MongoDB Cluster AttendlyticalMongoDB Collections SampleCode ImplementationFirst of all, we need a dependency manager such as NPM, YARN, etc (I am using NPM). Open the terminal, then create a ReactJS project using command npx create-react-app client then npm i face-api.js to install the API.Face Recognition Utility Function PreparationAll the selected pre-trained models need to be placed in the folder public/models.Downloaded Pretained Model ModelsIn the client/src/faceUtil/index.js, there is a function loadModels() to load all the models with the reference path. The name of the model files or metadata files cannot be changed because the API will match the files name and load the models accordingly.Loading ModelsTo determine whether the models have been loaded, we can check the parameters variables is defined or null value from the API as shown below.Checking the model parameter loadedFor the image acquisition, use faceapi.fetchImage(blob) function to pass the image data into the API.Image AcquisitionSet SsdMobilenetv1 Option For Face DetectionFor face detection task, we need to set a score threshold to determine between the positive and negative class. The higher the score threshold for face detection, the more strict for the detection with less result and vice versa.Face Detection SSDMobileNetV1 OptionCreate a function taking image source and transform it to 128 feature vectorsGet Full Description FunctionOverall steps: faceapi.fetchImage(blob)-> faceapi.detectAllFaces(img, SSDMobileNetV1Option).withFaceLandmarks(useTinyModel=true).withFaceDescriiptors()Implementation of Face Registration ModuleInterface of Face Registration (For Student Version > Face Data Section)For Face Registration Module, I have added 2 options for the users (upload from webcam/from disk). For simplicity, I will only explained the upload option from webcam because each of the process are the same.First of all, we need to import react-webcam that help to retrieve the video frame from the webcam.Import React WebcamWebcam DisplayReact.useEffect(callback, [dependencies]) is the function that run in the loop after detecting some changes in the passing dependent states.We have made a reference from the selected webcam using React.useRef(). webcam.current.getScreenshot() will return BLOB value of the current frame. Then, we use the face recognition utility function getFullDescriptions created to obtain the feature vectors. If the face is not detected in the first hand, then there will not be any feature vectors generated.Overall function of video frame retriever from webcamFor this case, we have set the infinite loop for the useEffect() that update the video frame for every 0.2 second.Update retrieved video frame for every 0.2 secondAfter retrieving the video frame, users can submit the data to the server. For this, we will use useMutation from Apollo React Hooks.Import useMutation Function For Running GraphQL queryGraphQL only have POST request unlike REST API. Thus, every operation r

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This Website takes and manages the attendances of CMS workforce in a very efficient and easy manner. It built using React.js and Node.js (MERN) Stack. react...Missing:integrate | Show results with: integrate6 Jun 2023 The project aims at building a web application for college management using the robust technologies that constitute the MERN stack. These...by LO Badru2022Cited by 3 Generation of quality data to aid planning, assessing the education performance, monitoring programs implementation and learning outcomes...With this application, you can easily keep track of your employees' attendance and absences, monitor late arrivals and early departures, and generate customized...29 Mar 2023 I'm working on a project to manage the attendance of employees in an organization. As part of this web-based project, employees must mark...Missing:integrate | Show results with: integrateThis research paper presents the design and implementation of an attendance management module for an academic department using the React Native framework with...20 Oct 2023 An attendance management system is any solution that assists in monitoring an employee's time spent in the office. Attendance App.Open the terminal, then create a ReactJS project using command npx create-react-app client then npm i face-api.js to install the API. Face...In this article, I will provide a guide on how to develop a MERN application with team members using my experience. To get a better idea of...31 Oct 2022 Most of the computerized systems proposed for employee management mainly focuses only on attendance management, leave management and salary...

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