K. J. Somaiya School of Engineering
Structured AI Interview Management at Scale
"Managing interviews at scale requires both structure and efficiency. The IntelQI AI Interview Portal helped us conduct interviews in a more organized, consistent, and technology-enabled manner."
Every transformation begins with a challenge
Managing large candidate volumes across multiple interview rounds while maintaining evaluation consistency and reducing unsustainable administrative overhead.
At K. J. Somaiya School of Engineering, the volume and complexity of managing interviews at institutional scale had outpaced manual processes. As the institution continued advancing its technology adoption, a modern, structured interview platform became a critical operational step forward.
Coordinating interviews across multiple candidates and evaluators simultaneously was operationally complex.
Maintaining consistent evaluation criteria across all rounds was difficult to enforce manually.
Interview records and candidate feedback were tracked manually, creating retrieval and reporting gaps.
Administrative overhead during peak interview cycles was unsustainable and resource-intensive.
What We Built
A scalable AI-powered interview platform: structured, configurable, and built for institutional volume.
Role-specific interview configuration
Add job requirements per role such as Web Dev, AI, or Data Science. Attach job descriptions. Questions are configured automatically.
AI-assisted structured evaluation
Every candidate assessed against defined, consistent criteria. No evaluator inconsistency. No subjective drift across rounds.
Centralized candidate records
Full interview history, responses, and evaluation scores stored centrally. Searchable and auditable at any time.
Domain and branch analytics
Total candidates interviewed, domain-wise interest distribution, branch-wise participation, completed vs. pending, and evaluation summaries.
The IntelQI AI Interview Portal was implemented to create a scalable, structured interview environment. The platform enables AI-assisted structured interviews, a dedicated admin panel for configuring role-specific requirements and job descriptions, centralized candidate records, consistent evaluation frameworks, detailed domain-wise reports, and simplified scheduling for all coordinators.
Built for K. J. Somaiya School of Engineering, from the ground up
A closer look at what we built and how it works in practice.
Set the role, attach a JD, and the platform configures the interview for you.
The IntelQI admin panel gives K. J. Somaiya coordinators complete control over every interview cycle. Add job requirements for specific roles like Web Development, AI, Data Science, and Cloud Computing, attach job descriptions, and the platform automatically aligns interview questions to those requirements. Every candidate is assessed on criteria that match the role they are being evaluated for.
Role-specific question configuration and job description management, all from a dedicated admin panel.
Complete interview analytics. Ready the moment the cycle ends.
After every interview cycle, coordinators and department heads access detailed reports covering total candidates interviewed, domain-wise interest distribution, branch-wise participation, completed vs. pending interviews, and evaluation summaries. What previously required assembling fragmented spreadsheet data is now available in structured analytical dashboards, instantly.
Branch-wise, domain-wise, and evaluation reports. Complete interview intelligence in one dashboard.
Measurable Impact
AI Interview Portal operational with role-specific configuration and job description support.
Faster interview coordination achieved across all simultaneous evaluators.
Consistent and transparent candidate evaluation enforced platform-wide.
Domain-wise and branch-wise interview reports live for institutional insights.
Significant reduction in administrative workload during peak interview periods.
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