Practitioner-built
Developed with campus placement practitioners who work with universities across India.
Research-backed
Uses published frameworks for hiring signals, competency assessment, CEFR, structured interviews, and learning science.
Placement-calibrated
Readiness estimates are mapped to Indian campus recruitment patterns and configured company expectations.
Module methodology matrix
The table shows what each module measures, what framework informs it, and what students see after practice.
ModuleMeasuresFramework basisStudent output
CV Analyzer
Resume signal quality
Experience, skills, education, projects, presentation, and keyword coverage.
Job-market signaling and resume-screening research.
Spence, 1973, Job Market SignalingSection scores, weak signals, and rewrite guidance.
Adaptive Aptitude
Quant, logical, and verbal readiness
Topic strength, weak areas, difficulty fit, and repeated-practice behavior.
Spacing, retrieval practice, and desirable difficulties.
Topic scores, next drill, and company readiness gaps.
English Proficiency
Communication readiness
Grammar, vocabulary, reading comprehension, and writing.
CEFR language proficiency framework.
CEFR level, section gaps, and company English readiness.
Mock Interviews
HR and technical competency
Communication, teamwork, adaptability, fundamentals, problem solving, and testing mindset.
Competency assessment and structured interview validity.
Competency scorecard, CV-based feedback, and next practice focus.
Company-specific readiness
Company profiles translate raw module scores into weighted readiness estimates. They are not selection probabilities.
8 company profiles
TCSInfosysWiproAccentureCognizantCapgeminiHCLL&T Infotech
5 company profiles
TCSInfosysWiproAccentureCognizant
How readiness is calculated
The calculation is intentionally simple enough to explain to a student or placement cell.
Take a module
A student completes aptitude, English, CV, or interview practice.
Apply weighted profiles
Domain scores are weighted against configured company or tier expectations.
Show the gap
The result shows readiness status and the next area to improve.
What this does not claim
- Not a placement guarantee.
- Not a selection probability.
- Not connected to company hiring systems.
- Based on configured readiness models, not historical offer data.
Want the full methodology note?
We can share the detailed research mapping and calibration assumptions before your institutional demo.