Tags: Python, Flask, NLP, TextBlob, GingerIt, Web App, Grammar Correction, AI, Portfolio Project

📝 Grammar & Spell Checker (Flask + NLP)

A smart, web-based grammar and spelling correction tool built with Python, Flask, and NLP libraries like TextBlob and Requests. Designed to clean up user-entered or uploaded text with accurate grammar fixes and spelling suggestions.

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✨ Features

• ✅ Context-aware spelling correction using TextBlob
• ✅ Rule-based grammar suggestions via GingerIt
• ✅ Text box input or file upload for flexibility
• ✅ Total issue count and correction list
• ✅ Clean, mobile-friendly UI with Bootstrap 5

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🛠️ Tech Stack

Layer	Technology
Backend	Python, Flask
NLP Libraries	TextBlob, Requests
Frontend	HTML, Bootstrap
File Handling	Flask File Uploads

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📸 Screenshots

You can add these later once deployed.

Text Input	Corrections

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🔧 How to Run Locally

Step 1: Clone this repository

git clone https://github.com/Rishita-rm/grammar-spell-checker-flask-nlp
cd grammar-spell-checker-flask-nlp

Step 2: Install dependencies

pip install -r requirements.txt
python -m textblob.download_corpora

Step 3: Run the app

python app.py

Visit http://127.0.0.1:5000 in your browser.

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📂 Project Structure

spell-checker-app/
├── app.py                  # Flask app logic
├── Model.py                # Spell and grammar processing
├── requirements.txt
├── README.md
├── templates/
│   └── index.html          # Bootstrap UI
└── static/                 # Optional: add custom CSS or JS

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📄 Sample Input

I like mashine learning and bananana.

Output

• Spelling: I like machine learning and banana.
• Grammar Corrections:
  • 'mashine' → 'machine'
  • 'bananana' → 'banana'

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🧠 What I Learned

• Working with Flask routing and templating
• Handling file uploads in Python
• Using NLP tools for spell and grammar analysis
• Parsing grammar suggestions from APIs
• Writing modular code for UI/backend separation

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🚀 Future Improvements

• 🔍 Highlight corrections inline in the text
• 🌐 Multilingual support with translation tools
• 💾 Download corrected files
• 🔁 AJAX-based frontend (no reloads)
• 🧪 Add automated tests with pytest
• 🐳 Docker container for deployment

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🙋 About Me

Hi! I'm a Python enthusiast passionate about building smart tools using NLP, AI, and web tech.

📫 LinkedIn
🐍 More Python Projects

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📜 License

MIT License – use it, improve it, share it!