quantrank.io is an interactive web platform desgined to help students practice quatitative aptitute efficiently. It tracks user performance, provides analytics, and offers a gamified experience to motivate consistent practics

DEMO

username: prashant password: prashant011

quantrank.io is built to provide:

• Chapter-wise accuracy tracking – Understand which topics need more practice.
• Daily heatmap points system – Earn points based on daily activity.
• Difficulty-based scoring – Track performance across question difficulty levels.
• Leaderboard – Compare performance with peers and encourage healthy competition.
• Attempted vs Correct graph – Visualize performance trends over time.
• Gamified experience – Points, streaks, and progress tracking make learning engaging.

The platform is desgined with scalability in min, using Python backend, SQLite databse, and a responsive JavaScript/Chart.js frontend.

• Manual login with username/password
• Future support for Google and GitHub login

• Chapter-wise and difficulty-level categorized questions
• Tracks attempted and correct answers

• Accuracy chart per chapter
• Last 10 days attempted vs correct line graph
• Heatmap of daily points earned
• Pie chart for points by difficulty level

• Ranks users by points
• Shows top performers

• Daily streak points
• Difficulty-level multipliers

• Add/edit/delete questions
• View user performance

• Python 3.10+
• Pip package manager
• Git

1. Clone the repository:

git clone https://github.com/Neravahn/QuantRank.io.git

cd QuantRank.io

2. Create a venv:

python3 -m venv venv

source venv/bin/activate
venvv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Run the applicationL:

python app.py

• Sign up with username and password
• Attemp questions from any chapter
• Track your progress on the dashboard
• Check leaderboards to compare score
• Analyze performance using line graphs, heatmaps, and pie charts

This project is licensed under the MIT License