Robotic Framework for IT Recruitment

Guide: Prof. A. V. Kanade | Sponsorship: Passion Infotech | AY 2023-24

Painpoint

Manual recruitment processes are slow, error-prone, and require high human effort.

Solution

AI-assisted robotic framework to automate resume screening, candidate shortlisting, and interview scheduling.

AI Component

Natural Language Processing for resume parsing, ML for candidate ranking.

Technical Approach

Python-based backend, AI/ML models for candidate scoring, web-based dashboard for HR managers.

Input Screens

Job Posting

Resume Upload

Candidate Shortlisting

Interview Scheduling

HR Feedback

Candidate Update

Reports / Dashboards

Effort & Budget Justification

PhaseHoursRate (INR/hr)Subtotal (INR)
Analysis7050035,000
Design9050045,000
Coding / Development16050080,000
Code Review / Testing4050020,000
Deployment / Integration2050010,000
Training105005,000
Total390-195,000
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