🚀 ShadowFox Internship Projects

This repository contains all the projects I developed during my internship at ShadowFox.
Each project is organized in its own folder with source code, documentation, and demo (if available).

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📂 Projects List

1. Biginner_Level

• 🔹 Description: This project demonstrates image classification using a Convolutional Neural Network (CNN) built with TensorFlow/Keras. The model is trained on the CIFAR-10 dataset, which contains 60,000 color images (32×32 pixels) in 10 different classes.
• 🔹 Tech Stack: Python, streamlit, tensorflow, numpy, pillow
• 🔹 Demo Link: Click Here

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2. Intermediate_Level

• 🔹 Description: This project predicts loan approvals using machine learning techniques. It covers the complete ML workflow including: Data preprocessing, Exploratory Data Analysis (EDA), Feature engineering, Model training and evaluation, Comparison of different algorithms.
• 🔹 Tech Stack: e.g., React, Flask, MongoDB
• 🔹 Demo Link: Click Here

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3. Advanace_Level

• 🔹 Description: Short description here.
• 🔹 Tech Stack: Mention tools/frameworks used.
• 🔹 Demo Link: Click Here

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📖 How to Use

1. Clone this repository:

   git clone https://github.com/yourusername/ShadowFox.git