1. Candidate Matching
AI-powered candidate ranking using semantic matching, skill alignment, and profile evaluation.
Enterprise placement platform organized into Tools for decision support, Assistants for operational workflows, and Reports for traditional institutional reporting.
Analyze data, uncover insights, predict outcomes, and support placement decisions.
AI-powered candidate ranking using semantic matching, skill alignment, and profile evaluation.
ATS scoring, resume gap analysis, keyword detection, and AI improvement suggestions.
Natural language search across placement drives with intelligent filter extraction.
Analyze participation patterns, identify disengagement risks, and understand PPO conversion trends.
Analyze recruiter behavior, hiring trends, skill demand, and recruitment drive outcomes.
Predict placement probability, salary outcomes, hiring forecasts, and institutional performance.
Automate repetitive placement workflows and execute operational tasks using AI.
Central AI assistant capable of orchestrating multiple PlacementHub AI tools and executing multi-step workflows.
Extract, validate, compare, and verify resumes, marksheets, certificates, offer letters, and job descriptions.
Generate and manage emails, WhatsApp messages, SMS campaigns, reminders, recruiter follow-ups, and newsletters.
Traditional institutional reporting for committees, leadership, and archival exports.
Placement, Student, Recruiter, Hiring, and Export Center placeholders — clearly separated from AI Tools and Assistants.
This interactive prototype demonstrates AI concepts that could be integrated into PlacementHub to improve placement workflows. Screens are numbered 1–14 so demos, onboarding, and documentation stay easy to follow.