🎯 Core Objectives:
- Enhance Candidate Readiness: Equipping job seekers with industry-specific knowledge.
- Standardise Evaluation: Providing recruiters with consistent scoring models.
- Reduce Time-to-Hire: Streamlining the screening process for client companies.
🧱 Key Structural Modules: Automated Screening: Initial AI-driven video or text assessments to filter technical baselines.
- Mock Interview Builders: Interactive tools allowing candidates to practice common and behavioural questions.
- Industry Question Banks: Curated repositories of role-specific questions (e.g., Tech, Finance, Healthcare).
- Feedback Delivery Systems: Dashboards where interviewers log performance scores and constructive notes.
📈 Development Phases:
- Phase 1: Role Analysis: Defining the exact competencies, skills, and traits required for the target job.
- Phase 2: Content Creation: Writing behavioural prompts (STAR method) and technical problem statements.
- Phase 3: Platform Integration: Embedding the rubrics, timers, and video tools into the website’s portal.
- Phase 4: Continuous Optimisation: Updating questions based on changing market trends and employer feedback.
🛠️ Key Features for Users
For Recruiters: Pre-made templates, collaborative scorecard sharing, and automated scheduling links.
For Candidates: Self-paced practice modes, real-time AI feedback, and resume-matching interview simulators.
