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Mobile Apps · Major Project

College Recruitment App with Career Prediction

Placement cell app with drives, applications and ML role prediction

3-4 weeks build

Overview

A mobile app for a college placement cell. Officers post drives with eligibility rules, students apply in one tap if they qualify, and results flow back as notifications. A career prediction model trained on skills, grades and interests suggests the job roles a student fits best and explains which inputs drove the suggestion.

What makes it stand up

  • 01Drive posting with automatic eligibility checks
  • 02One-tap applications and push notifications for updates
  • 03Career role prediction from skills, grades and interests
  • 04Feature-importance explanation for each prediction
  • 05Placement statistics for the cell by branch and year

Module breakdown

  1. 01

    Student app

    Profile, eligible drives, applications and results.

  2. 02

    Officer console

    Drive creation, shortlists and round updates.

  3. 03

    Eligibility engine

    Branch, CGPA and backlog rules checked per drive.

  4. 04

    Prediction service

    Flask API over a tuned classifier with explanations.

  5. 05

    Analytics

    Offers, companies and branch-wise placement charts.

After this, you will be able to

  • Explain how the career model was trained and validated
  • Defend the eligibility rules design and its edge cases
  • Demo a drive from posting to a student's result

Technology stack

  • Flutter
  • Firebase
  • Python
  • Flask
  • scikit-learn

Complete kit

₹7,099₹11,999
-41%

Delivered in under 48 hours

Level
Major Project
Domain
Mobile Apps
Build time
3-4 weeks
Difficulty

You receive

  • Complete, commented source code
  • 60-90 page project report (IEEE format)
  • Editable presentation deck
  • Architecture, ER and UML diagrams
  • Local setup and deployment guide
  • Sample dataset or seed data
  • Viva question bank with answers
  • One 45-minute walkthrough call
  • 30 days of doubt-clearing support
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