Hustlr 2.0: End-to-End AI-Powered Job Placement Platform

Overview

Hustlr 2.0 is a fully reimagined version of our placement and hiring platform, built from scratch to streamline how students, internal teams, and recruiters interact in the placement ecosystem. The platform was designed to eliminate manual coordination, reduce turnaround time, and create a scalable, data-driven hiring workflow.

The system is structured around three tightly integrated portals:

Student Portal

Admin Portal

CR (Corporate Relations) Portal

Each portal serves a distinct user group while feeding into a unified backend and AI matching engine.

1. Student Portal

Purpose

The Student Portal empowers students to manage their placement journey independently while ensuring data consistency and readiness for AI-based matching.

Key Features

Profile Creation & Management

Personal details, education, experience, skills, tools, and certifications

Portfolio links (Notion, GitHub, Behance, Figma, etc.)

Resume upload and version control

Availability & Preferences

Job type (internship/full-time)

Preferred roles, locations, salary expectations

Notice period and interview availability

AI Readiness Layer

Structured skill tagging and experience mapping

Profile completeness score to ensure match quality

Job Visibility

View relevant roles shared by the CR team

Status Tracking

Application status (Applied, Shortlisted, Interview, Offered, Rejected)

Feedback visibility where applicable

Impact

Reduced dependency on manual applications

Improved data accuracy for matching

Increased student accountability and readiness

2. Admin Portal

Purpose

The Admin Portal acts as the central control system for the platform, enabling internal teams to manage users, data quality, AI logic, and overall operations.

Key Features

User Management

Student onboarding, batch tagging, program mapping

Admin roles and permissions

Job & JD Management

Create, edit, and categorize job descriptions

Define experience, CTC range, skills, and hiring criteria

AI Matching Engine Controls

Configure matching weights (skills, experience, availability)

Preview matched candidates before release to CR

Workflow & Status Management

Control placement rules (cooling periods, attempt limits, rejections)

Track application funnels and conversions

Data & Analytics

Placement metrics by batch, role, recruiter

Drop-off analysis and bottleneck identification

Quality Control

Profile verification

Resume and portfolio checks

Feedback tagging for continuous improvement

Impact

Centralized operations reduced human error

Enabled consistent placement rules at scale

Provided real-time visibility into placement performance

3. Corporate Relations (CR) Portal

Purpose

The CR Portal is designed for the corporate relations team to manage recruiter relationships, hiring requirements, and candidate submissions efficiently.

Key Features

Recruiter & Company Management

Company profiles, hiring history, and category tagging

SPOC management and communication logs

JD Intake & Structuring

Recruiters submit requirements through structured forms

JDs auto-tagged for skills, experience, and role type

AI-Powered Candidate Matching

Instantly view a curated list of matched candidates

Match scores with skill and experience breakdown

Candidate Actions

Shortlist, reject, or request interviews directly

Auto-generated temporary links for recruiter access

Pipeline Tracking

Real-time view of candidate progress per role

Hiring stage tracking and recruiter feedback

Collaboration & Notes

Internal comments and recruiter feedback logging

Status timestamps for accountability

Impact

Significantly reduced turnaround time from JD to shortlist

Improved recruiter experience and engagement

Enabled the CR team to handle more roles without scaling headcount

How the Portals Work Together

Students maintain updated, structured profiles in the Student Portal

Admins ensure data quality, define rules, and oversee AI matching

CR teams receive recruiter requirements and instantly access matched candidates

Recruiters review candidates through shared links and take actions

All updates flow back into the Admin system for tracking and optimization

This closed-loop system ensures speed, transparency, and scalability across the placement lifecycle.

01 Oct 2025

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