Student Performance Analytics Platform

About The Project

The Student Performance Analytics Platform is an interactive analytics application built using Streamlit, Pandas, Plotly, and NumPy. Designed to deliver enterprise-grade educational insights, it features a clean modern dashboard UI inspired by Microsoft Power BI and Tableau.

The platform provides an Executive Summary, interactive KPI cards, dynamic sidebar filters, autocomplete student search, subject-wise performance analysis, interactive Plotly charts, AI-generated insights, student rankings, grade distribution, statistical analysis, and downloadable CSV reports.

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Features

• Executive Summary Dashboard
• Interactive KPI Cards
• Student Search & Filters
• Subject Performance Analysis
• AI-Generated Insights
• Interactive Plotly Charts
• Student Rankings
• Grade Distribution
• Statistical Analysis
• CSV Export

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Technologies Used

• Python
• Streamlit
• Pandas
• Plotly
• NumPy

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Project Highlights

• Professional executive-style dashboard
• Interactive visual analytics
• Responsive filtering and search
• Dynamic data insights
• Modern white UI inspired by Power BI

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How to Run

Follow these steps to run the application on your local machine:

1. Clone the Repository

git clone https://github.com/your-username/student-performance-platform.git
cd student-performance-platform

2. Set Up a Virtual Environment

• Windows:

  python -m venv venv
  venv\Scripts\activate

• macOS / Linux:

  python3 -m venv venv
  source venv/bin/activate

3. Install Required Dependencies

pip install -r requirements.txt

4. Launch the Streamlit App

streamlit run app.py

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License

This project is developed for educational and portfolio purposes.