NexGen FC LogoNEXGEN FC
Education Technology/Enterprise Education Platform/Production MVP

AI-Powered Training & Placement Platform

An AI-powered operating system for universities that unifies training, coding practice, assessments, attendance, resume intelligence, placement management, recruiter collaboration, and analytics into a single enterprise platform.

Overview

What it is, who uses it, why it exists

An institution-grade platform that unifies syllabus management, QR attendance, assessments, self-directed learning, resume building, and an AI agent layer into one role-aware system.

Students, trainers, coordinators, and the Training & Placement cell each get a dedicated portal — trainers keep override authority over every AI recommendation.

Replaces manual attendance, generic assessment tools, and reactive risk detection with one system built for roughly 8,000 concurrent students.

Platform Overview

Who the platform serves, end to end

Students, Faculty & Placement CellEveryone who touches the training and placement lifecycle
Unified PlatformTraining · Assessments · Attendance · Resume · Placement
Analytics & Decision DashboardsTrainer, coordinator, and admin visibility
User Journey

The full lifecycle, start to finish

Student
Registration
Learning
Coding Practice
Assessments
Resume Analysis
Placement
Offer Letter
Platform Modules

Every module the platform is built from

Hover a module to see what it's responsible for.

Student Portal

The daily surface for every student — from first login to placement.

  • Dashboard
  • Learning
  • Coding Practice
  • Resume Builder
  • AI Resume Review
  • Assessments
  • Placement Status

Faculty Portal

Where trainers run their cohort — attendance, grading, and progress in one place.

  • QR Attendance
  • Student Management
  • Assessments
  • Reports
  • Analytics

Placement Cell

Operational control for company drives, eligibility, and interview scheduling.

  • Companies
  • Job Drives
  • Student Eligibility
  • Interview Scheduling
  • Placement Analytics

Recruiter Portal

A dedicated surface for recruiting partners to review and shortlist candidates.

  • Candidate Search
  • Resume Review
  • Interview Pipeline
  • Hiring Dashboard

Administration

Institution-wide configuration, access control, and audit visibility.

  • User Management
  • Departments
  • Role Management
  • Audit Logs
  • Reports
Feature Deep Dive

How the major features actually work

Feature 01

AI Resume Intelligence

A student submits their resume and the Resume Analyzer agent returns an improvement score with section-specific suggestions — up to three versions are tracked over time.

Immediate feedbackSection-level suggestionsVersion history
Feature 02

QR-Based Attendance

A trainer generates a session-specific QR code that expires with the class window; students scan it once, and records are immutable after submission.

No manual roll-callAuditable correctionsAttendance-gated practice
Feature 03

Risk Detection System

Every attendance record or submission triggers the Risk Detection agent, which flags students against attendance and grade thresholds and alerts the trainer directly.

Early interventionExplainable flagsTrainer override
System Architecture

From client to database, end to end

Select a node to see its purpose, technologies, and responsibilities.

Purpose

Renders the student, faculty, placement-cell, recruiter, and admin experiences.

Technologies
  • Next.js
  • React
  • TailwindCSS
  • TypeScript
Responsibilities
  • Role-based routing between portals
  • Client-side form validation
  • Real-time QR/session UI
AI Architecture

How a request moves through the AI layer

Eight specialized agents share one student data store and an event bus — every output is logged and can be overridden by a trainer.

Trigger EventSyllabus upload, session attendance, assessment submission, or a direct question
Agent RouterSelects the relevant agent — parser, learning path, risk detection, resume, tutor, or query agent
Context RetrievalStudent performance history and learning resources (ChromaDB)
LLM ReasoningGemini 1.5 Pro / Flash
Explainability SummaryEvery output states why the recommendation was made
Audit Log & Trainer OverrideLogged for 3 years; any flag can be dismissed or overridden
Response to Student / Trainer
Data Flow

How information moves through the system

Student ActivityAttendance scan or assessment submission
Application Server
Risk Detection AgentAnalyzes performance against attendance/grade thresholds
DatabaseRiskFlag record written with severity and reason
Trainer Dashboard Alert
Engineering Decisions

Problem, decision, reason

Problem

A generalized, multi-institution platform would add tenancy complexity the university doesn't need yet.

Decision

Single-tenant architecture scoped to one institution for this release.

Reason

Keeps engineering effort focused on the real workflow, not hypothetical future customers.

Problem

AI recommendations and risk flags can be wrong, or miss context a trainer already has.

Decision

Every agent output is explainable, audit-logged, and overridable by a trainer.

Reason

The platform assists a trainer's judgment — it never replaces it.

Problem

Assessment windows create sharp spikes toward 8,000 concurrent students.

Decision

Horizontally scaled containerized services with Redis-backed job queues and read replicas.

Reason

Performance has to hold up specifically during live exams.

Technology Stack

Organized by category, with a reason for each choice

Frontend
Next.jsMulti-role portal with fast navigation.
ReactShared UI across five portals.
TailwindCSSConsistent styling per role.
TypeScriptType safety across the domain model.
Backend
DjangoRBAC-heavy academic domain and admin.
FastAPILatency-sensitive AI endpoints.
Database
PostgreSQLEnrollments, attendance, and grades.
RedisSession caching and job queues.
ChromaDBVector context for AI agents.
Artificial Intelligence
Gemini 1.5 Pro / FlashLLM inference for all eight agents.
text-embedding-004Resume and content matching.
LangGraphMulti-step agent orchestration.
Infrastructure
Docker + KubernetesHorizontal scaling for exam-time spikes.
AWS S3 / MinIOSyllabus and resume storage.
SendGridRisk and assessment alerts.
Vercel + GCPFrontend and backend hosting.
Engineering Highlights

What makes this build hold up

Modular Architecture

Training, assessment, resume, and placement as separable services.

Role-Based Access Control

Four roles enforced at the middleware level, not just the UI.

AI-First, Human-Governed

Every recommendation is explainable and overridable.

Cloud Native

Scales horizontally for exam-time concurrency.

Roadmap

Current, next, and future vision

Current

AI Agent Layer

  • Eight-agent AI layer live
  • Risk alerts delivered within 5 minutes of a threshold breach
  • Load-tested at 8,000 concurrent users
Next

External Platform Integration

  • LinkedIn, GitHub, and LeetCode profile linking
  • AI-generated assessment question creation
Future Vision

Placement Intelligence

  • Mock interviews
  • AI career coach
  • Placement prediction
  • Company matching
  • Skill gap analysis

Interested in AI-Powered Training & Placement Platform?

Let's discuss how this can work for you.

// END OF CASE STUDYAI-Powered Training & Placement Platform