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EdTech & Learningmedicareers.in

NEET Counselling Platform (mediCareers)

From Aspirations to Admissions — a data-driven NEET-UG counselling platform with a rank-based college predictor and personalised guidance packages.

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Key Features

A rank-based college predictor built on years of real admission data, not guesswork

Multiple guidance packages, from self-service prediction to personalised 1-on-1 counselling

An entirely dynamic platform — counselling content, colleges, and pricing are all managed without a code deployment

A UX benchmarked against many existing counselling apps, then refined to fix their common pain points

Students verify themselves through WhatsApp OTP verification, no separate app needed

Installable as an app directly from the browser, no app store needed

The Challenge

NEET-UG candidates in India face a confusing, high-stakes college-selection process — thousands of colleges, multiple quota types, and closing ranks that shift every year — where guessing wrong costs a student their year. Before building mediCareers, we looked closely at a number of existing NEET counselling apps and found the same recurring problems: clunky, confusing prediction tools, rigid one-size-fits-all guidance with no real personalisation, and content and pricing that were hardcoded, so the platform's own team couldn't update colleges, packages, or counselling flows without going back to a developer. Students needed more than a rank predictor — they needed a range of guidance options, from a quick self-service check to real 1-on-1 support, presented in a way that was actually easy to use.

The Solution

1

Studied a range of existing NEET counselling platforms first, specifically to identify where their UX broke down for students, then designed mediCareers to fix those exact pain points

2

Built a rank-based College Predictor that classifies every eligible college into Safe/Moderate/Reach bands using several years of real closing-rank history

3

Built multiple guidance packages so students can choose anything from a quick self-service prediction to full personalised 1-on-1 counselling

4

Made the entire platform dynamic — colleges, master data, counselling flows, packages, and pricing are all managed by the mediCareers team through an admin panel, with no code deployment needed for routine updates

5

Built a fully database-driven counselling rule engine so new state or all-India-quota counselling flows can be added the same way

6

Gave students self-serve registration with WhatsApp OTP verification and a clear path to upgrade into a paid guidance package

7

Shipped as an installable PWA with SEO tooling so public pages are discoverable

8

Deployed on a hardened production stack behind Nginx/TLS with an automated CI/CD pipeline

The Result

Students get a clearer, easier college-prediction experience than the competing apps we benchmarked against during design

Students can choose the level of support that fits them — from a free self-service prediction to a paid, personalised counselling package

The mediCareers team can update colleges, counselling flows, packages, and pricing themselves at any time, without waiting on a developer

The platform is live in production at medicareers.in, and the site itself reports guiding over 15,000 students through NEET counselling

Built With

FlaskAngular 17PostgreSQLRedisCeleryRazorpayPWA