About the Student Portal

The Evalyx Student Portal is a platform designed to help students track their preparation journey for competitive exams like NEET.

Our Purpose

We believe that meaningful data can help students improve faster. By analyzing test results at a chapter level, we identify exactly which topics you need to study more to increase your final score.

Data Privacy

Your data is private. You can only access your own profile using your unique PSID. We do not share your individual scores with anyone except your assigned mentors.

Peer Ranking

The leaderboard helps you understand where you stand in a healthy competitive environment. It shows only the top 100 students to encourage everyone to strive for improvement.

Need Support?

If you have any issues with your PSID or notice any incorrect test marks, please reach out to the administration desk.

Contact:mangalnath123k@gmail.com

Guide to Analytics

Chapter Proficiency Index (CPI)

A precise 1-10 scale measuring your command over specific chapters, calculated using a weighted average of your test accuracy and question difficulty.

8.0 - 10.0
Mastered

Exceptional command with minimal errors. Maintain revision.

5.0 - 7.9
Needs Practice

Good conceptual base but prone to errors in complex problems.

0.0 - 4.9
Critical Attention

Significant gaps. Requires immediate re-learning of core concepts.

Consistency Index

Measures the stability of your performance over the last 2 tests. Stability is key to predictable results in final exams.

  • High: Variance < 10%. Highly predictable performance.
  • Medium: Variance 10-20% or recent drop.
  • Low: Variance > 20% or sharp decline.

Exam Readiness

An AI estimate of your preparedness based on your trajectory (Trend) and stability (Consistency).

  • Ready: Improving trend + High consistency.
  • Moderate: Stable but flat trend.
  • Needs Work: Declining trend or low consistency.

Engineering & Credits

Core Technology

Next.js 14ReactTailwind CSSPython 3.11Chart.jsFirebaseVercel

The Evalyx Engine (Python) processes raw test data to generate high-precision analytics, which are then visualized by the Next.js frontend.

Credits

  • MH
    shadowXg (Mangal Nath Yadav)
    Lead Developer & Concept
  • AI
    Antigravity (Google DeepMind)
    Agentic Co-Pilot & Implementation

Built for Academic Excellence