🎓 Student Management System

A web-based Student Management System built using Python and Streamlit, allowing users to manage student records, upload data files, calculate grades, and view performance statistics.

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📌 Features

• ✅ Add individual student records (Name, Roll No, Marks)
• ✅ Calculate and assign grades automatically
• ✅ Upload data from .csv or .xlsx files
• ✅ Prevent duplicate entries based on Roll No
• ✅ View all student records in a clean, searchable table
• ✅ Update or delete student records easily
• ✅ View insightful statistics:
  • Total students
  • Average marks
  • Grade distribution (bar chart)
• ✅ Export all data as a .csv file
• ✅ Reset all data with a single click

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📸 Demo

Here's the live app on Streamlit Cloud (deployed)
🔗 Live Demo Link

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🛠️ Technologies Used

• Python 3.10+
• Streamlit – for the web interface
• Pandas – for data processing
• JSON – for data storage
• Matplotlib/Streamlit Charts – for visual statistics

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📁 File Structure

student-management-system/
├── app.py               # Main Streamlit app
├── students.json        # Local data storage (JSON format)
├── requirements.txt     # Python dependencies
└── README.md            # Project documentation

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🚀 Getting Started

🔧 Prerequisites

• Python 3.10 or later installed
• Pip or Conda environment

📦 Installation

1. Clone the repository:

git clone https://github.com/your-username/student-management-system.git
cd student-management-system

2. (Optional) Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install the required libraries:

pip install -r requirements.txt

4. Run the Streamlit app:

streamlit run app.py

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📤 Upload File Format

Make sure your .csv or .xlsx file has the following columns:

name	roll_no	marks
John Smith	101	89.5
Jane Doe	102	95.0

⚠️ Roll No must be unique

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📊 Grade Calculation Logic

Marks Range	Grade
90-100	A
80-89	B
70-79	C
60-69	D
Below 60	F

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🧑‍💻 Author

Ahmad Ali Rafique
AI & Machine Learning Specialist | Deep Learning | NLP Expert
🔗 LinkedIn Profile
🎥 YouTube: AboutAI

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📜 License

This project is open-source and available under the MIT License.

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⭐️ Support

If you like this project, give it a ⭐️ on GitHub and feel free to contribute or provide feedback!

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