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AI career platform

AI Interview Platform
case study.

An AI interview practice platform with adaptive questions, résumé-aware RAG, structured feedback and progress analytics.

AI Interview Platform interface and project preview
4Core technologiesFullCase studyUXUser focusedWebResponsive

Why AI Interview Platform needed to exist.

Static question lists do not adapt to a candidate's resume, target role or previous performance.

An AI practice platform combines resume-aware retrieval, adaptive questioning and structured feedback with progress tracking.

Who it serves

Job candidates preparing for technical and behavioral interviews.

Business value

Creates a repeatable personalized preparation experience suitable for subscriptions, institutions or placement programs.

Designed around the essential workflow.

01

Resume-aware RAG

Designed as part of a cohesive ai career platform experience, with clarity, reliability and practical use in mind.

02

Adaptive interview questions

Designed as part of a cohesive ai career platform experience, with clarity, reliability and practical use in mind.

03

Structured AI feedback

Designed as part of a cohesive ai career platform experience, with clarity, reliability and practical use in mind.

04

Progress analytics

Designed as part of a cohesive ai career platform experience, with clarity, reliability and practical use in mind.

Value for users and the business.

Personalizes preparation

Makes practice repeatable

Highlights improvement areas

Built with constraints in view.

AI feedback is advisory, not definitive

Resume data requires careful privacy handling

MERNLLMRAGVector DB
01

Discover

Understand the users, business objective and constraints.

02

Design

Map the core journey and reduce unnecessary interaction.

03

Build

Implement maintainable interfaces, services and data flows.

04

Validate

Test behavior, responsiveness and failure paths before release.

Project by Sandipan Das

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