Digital Internship & Skill Assessment Platform For Star Wallet

This digital internship and skill assessment platform gives universities and employers one EdTech web application for tracking internships and grading skills. Automated evaluation engines, proctored testing and live dashboards replace spreadsheets, email threads and manual grading for every stakeholder involved.

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About

Digital Internship & Skill Assessment Platform

Built as an EdTech web application for skill evaluation, this student technical skill verification tool pulls internship tracking, candidate assessment and academic administration into one system. Automated internship management software replaces scattered evaluation methods with grading tools and live performance dashboards, so institutions and hiring teams measure competencies consistently. A responsive interface keeps the platform accessible across devices for students, mentors and administrators managing large, varied cohorts together.

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Client Requirement

The client needed a web application that could replace manual internship tracking, fragmented candidate assessments and slow institutional reporting with one connected system. Priorities included role-based dashboards for students, educators and recruiters, real-time technical evaluation tools and stable performance during concurrent proctored assessment sessions. The platform also had to meet data security requirements, deliver dependable skill verification and connect smoothly with external institutional management systems through open APIs.

The Solution

We built a high-performance web application using Next.js for server-side rendering and Node.js microservices for synchronous evaluation processing. A dual-database architecture pairs PostgreSQL for structured records with MongoDB for flexible assessment content, running automated code evaluations, instant feedback and role-based access control. Students get interactive learning pathways, while administrators see real-time analytics on skill proficiency, assessment progress and placement outcomes across every cohort.

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Our Development Process

01

Performance Improved:

Server-side rendering and automatic code splitting in Next.js cut the wait before dashboards become interactive. CloudFront CDN caching keeps candidate portfolios and evaluation pages loading quickly, even on constrained campus or mobile networks.

02

Evaluation Speed Accelerated:

Automated grading engines score programming submissions and quizzes the moment they’re turned in. Instructors skip manual grading queues entirely, students get instant feedback and institutions scale skill evaluation across large student cohorts without added staff.

03

Verification Integrity Enhanced:

Objective scoring algorithms, code plagiarism detection and proctored assessment workflows work together as one verification layer. Employers and academic coordinators can rely on the resulting competency records during recruitment decisions and accreditation reviews.

04

System Concurrency Scaled:

PostgreSQL handles transactional integrity while MongoDB stores flexible assessment content, with indexing and async queries tuned for scale. Thousands of students can submit proctored assessments simultaneously without dashboards slowing down or timing out.

05

User Engagement Boosted:

Interactive progress visualization, milestone tracking and built-in mentor messaging give students a clear path through each internship module. Straightforward navigation reduced drop-off and pushed completion rates and overall learning outcomes noticeably higher.

Application Visual Showcase

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Technology We Used

technologies-next.js

Next.js

technologies-react

React.js

technologies node.js

Node.js

technologies-express

Express.js

technologies-postgresql

Postgresql

Frequently Asked Questions

Explore answers to the most common questions about our services, workflows, and support. Clear information, all in one place.

What is a digital internship and skill assessment platform?

It is an EdTech web application that centralizes internship tracking, candidate evaluation and academic administration into one system. Automated grading, proctored testing and live dashboards replace spreadsheets and email for students, educators and recruiters alike.

They replace manual tracking and grading with connected dashboards, automated scoring engines and real-time reporting. Here, that shift cut automated grading time by 65% and raised database throughput 300%, so large cohorts get evaluated without added administrative staff.

A common approach pairs Next.js for fast, server-rendered dashboards with Node.js microservices for concurrent evaluation processing. A dual-database setup, PostgreSQL for transactional records and MongoDB for flexible assessment content, supports both structure and scale.

Proctored online testing, automated plagiarism detection and objective scoring let institutions verify skills without in-person supervision. Students get instant feedback, employers get reliable competency records and coordinators get real-time visibility into every candidate’s progress.

Automated evaluation engines score code submissions and quizzes against defined rubrics the moment they’re submitted, backed by proctoring and plagiarism checks for integrity. Results feed dashboards that track skill proficiency and completion across an entire cohort.

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