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# This workflow will do a clean installation of node dependencies, cache/restore them, build the source code and run tests across different versions of node
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# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-nodejs
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name: Node.js CI
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on:
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push:
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branches: [ "main" ]
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pull_request:
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branches: [ "main" ]
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jobs:
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build:
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runs-on: ubuntu-latest
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strategy:
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matrix:
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node-version: [18.x, 20.x, 22.x]
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# See supported Node.js release schedule at https://nodejs.org/en/about/releases/
//check whether a person is elligible to vote or not
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//should be 18 plus and should havea citizenship to cast vote
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// Create a system that processes student data, calculates grades, filters results, and generates reports. It should handle real-world logic like grade calculations, filtering by criteria, and data transformations.
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constage=24
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constcitizenshipNum=23456
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if(age>=18){
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if(Boolean(citizenshipNum)){
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console.log("You are elligible to cast vote...")
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// What to Build:
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// An array of student objects, where each student has: name, marks (array of subject scores), attendance percentage
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// Functions that:
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// Calculate average marks and assign grades (A/B/C/D based on ranges)
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// Filter students by criteria (e.g., "show only students with > 75 average")
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// Find top performer and lowest scorer
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// Check eligibility (average > 40 AND attendance > 75%)
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// Loops to iterate through data and transform it
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// Conditionals to apply grading rules (use switch for grade assignment or if/else for eligibility)
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// Generate a summary report showing: total students, pass count, fail count, average class score
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// How to Approach It:
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// Start with data structure — Create realistic student objects with nested arrays (marks per subject)
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// Build utility functions — Each function should do ONE thing (calculate average, assign grade, filter students)
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// Use loops strategically — .map() mindset (though not required): transform data from one form to another
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// Apply game logic — Use conditionals creatively (e.g., bonus points if attendance > 90%)
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// Combine everything — Chain functions and loops to build the final report
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// Challenge Twist (Optional):
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// Add a pass/fail rule: If marks < 40, fail regardless of attendance
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// Add a merit scholarship checker: Show students eligible for scholarship (average > 80 AND attendance 100)
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// Export data to a formatted string report using template literals
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// This project forces them to design with objects, organize logic with functions, and process data with loops — all core pillars.
console.log("The pass/fail eligibilty of each student; ",eligibility)
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//again updating with results
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for(leti=0;i<students.length;i++){
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students[i].Result=eligibility[i]
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}
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console.log("Updated Students Profile with grade and avgmarks:",students)
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//pass count
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letpcount=0;
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for(leti=0;i<eligibility.length;i++){
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if(eligibility[i]==="PASS"){
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pcount+=1
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}
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}
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console.log("The pass count in letslearn is: ",pcount)
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//fail count
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letfcount=0;
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for(leti=0;i<eligibility.length;i++){
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if(eligibility[i]==="PASS"){
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continue;
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}
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else{
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fcount+=1
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}
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}
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console.log("The fail count in letslearn is: ",fcount)
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//average class score
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functionclassScore(){
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letavgClassScore=0;
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for(leti=0;i<avgmarks.length;i++){
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avgClassScore+=avgmarks[i]
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}
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returnavgClassScore/students.length
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}
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console.log("The average score of class is : ",classScore(avgmarks))
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// summary report showing: total students, pass count, fail count, average class score
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console.log("==============CLASS REPORT OF LETSLEARN=============")
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console.log(`\nThe total students in Letslearn is : ${students.length}\nPass count of lets learn : ${pcount} \nFail count of letslearn : ${fcount}\nAverage class score of letslearn is : ${classScore(avgmarks)}`)
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