Image Classification Project 📷🤖

This repository contains an Image Classification project implemented using Python and Jupyter Notebook.
The notebook demonstrates data preprocessing, model building, training, evaluation, and visualization — common steps used in computer vision workflows.

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📘 File Included

• Image-Classification-Project.ipynb
  This notebook includes:
  • Data loading & preprocessing
  • Image transformations
  • Model creation (CNN or other architecture used)
  • Training & validation
  • Evaluation metrics
  • Prediction visualizations

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🛠️ Requirements

Install the following Python libraries (modify based on your imports):

numpy  
pandas  
matplotlib  
opencv-python  
tensorflow  
PyTorch
 

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▶️ How to Run

1️⃣ Clone the repository

git clone https://github.com/Sailaja-ASB/Image-Classification-Project.git
cd Image-Classification-Project

2️⃣ Install dependencies

pip install -r requirements.txt

3️⃣ Open the Jupyter Notebook

jupyter notebook "Image-Classification-Project.ipynb"

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📊 Features of This Project

• Image preprocessing
• Image augmentation
• Deep learning pipeline
• CNN model training
• Accuracy & loss graphs
• Test predictions visualization

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🚀 Future Enhancements

• Add real-time prediction using webcam
• Deploy model using Streamlit / FastAPI
• Improve accuracy with data augmentation
• Convert to ONNX or TFLite model

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👩‍💻 Author

Sailaja Morrennagari

🌐 Connect With Me

🔗 GitHub: https://github.com/Sailaja-ASB
🔗 LinkedIn: https://www.linkedin.com/in/sailajamorrennagari
🔗 LeetCode: https://leetcode.com/u/Its_Sailaja/