ShadowFox Smart Keyboard

🚀 Features

• Autocorrect using pyspellchecker
• Next-word prediction using N-grams
• CLI-based smart keyboard

🧠 Tech Stack

• Python
• NLP (N-grams)
• Spell Correction

▶️ How to Run

1. Clone the Repository

git clone https://github.com/your-username/ShadowFox.git
cd ShadowFox

2. Create Virtual Environment

python -m venv venv

3. Activate Virtual Environment

Windows:

venv\Scripts\activate

Mac/Linux:

source venv/bin/activate

4. Install Dependencies

pip install -r requirements.txt

5. Run the Application

python app/keyboard_app.py

## 📌 Example
Input: i am goin to collge  
Output: i am going to college + suggestions

## 📁 Project Structure
ShadowFox/
│── data/           # Dataset
│── src/            # Core logic (NLP, autocorrect, prediction)
│── app/            # Main app (keyboard interface)
│── README.md
│── requirements.txt

## ⚙️ How It Works
1. User inputs text
2. Autocorrect fixes spelling errors
3. N-gram model predicts next words
4. Top suggestions are displayed

## 🔮 Future Improvements
- Add deep learning model (LSTM/RNN)
- Build web interface using Flask
- Improve dataset for better accuracy
- Add user learning capability