🧠 AI Document Classifier with Chatbot

This project is an AI-powered web application built with Flask and Python for automatic document classification and interactive chat-based querying. Upload your documents (PDF, DOCX, PPTX, XLSX, and more) and have them instantly categorized as Legal, HR, Finance, Medical, or Technical.

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📁 Project Structure

product-chatbot/
│
├── classifier_real.py         # Main Flask API, file handling, and classification logic
├── model.pkl                  # Trained machine learning classifier model
├── vectorizer.pkl             # TF-IDF (or other) vectorizer used during model training
│
├── templates/
│   └── index.html             # Web frontend interface
│
├── static/
│   └── style.css              # Custom frontend styling
│
├── uploads/                   # Temporary folder for user-uploaded files
│   └── (kept empty)
│
└── README.md                  # Project documentation (this file)

##> Note:

This project was developed and tested using Python 3.10+ in Visual Studio Code.
It is highly recommended to use Python 3.8–3.10 for maximum compatibility.

Key library versions used:

• Flask 2.3+
• scikit-learn 1.3+
• pandas 1.4+
• joblib 1.2+
• python-docx 0.8.11+
• python-pptx 0.6.21+
• PyPDF2 3.0+
• openpyxl 3.1+
• xlrd 2.0.1+
• striprtf 0.0.15+
• odfpy 1.4.1+

IDE: Visual Studio Code (VS Code)
Test Environment: Windows 10, local development server

⚠️ Ensure your Python version is compatible with these libraries.
If you face any installation or runtime issues, use a virtual environment and refer to each package’s official documentation.

⚙️ Setup Instructions

1. Clone this repository:

   git clone https://github.com/your-username/product-chatbot.git
   cd ai-doc-classifier-chatbot-main

2. Create and activate a virtual environment:

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

3. Install dependencies:

   If you have a requirements.txt:

   pip install -r requirements.txt

   If not, install these packages manually:

   pip install flask python-pptx python-docx PyPDF2 pandas openpyxl xlrd striprtf odfpy joblib scikit-learn

4. Model Files:

   Ensure the following files are present in your project root:

   • model.pkl
   • vectorizer.pkl

   If you do not have them, train your own model or download the provided files.

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🚀 Running the App

python classifier_real.py

The app will start at: http://127.0.0.1:5001

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📤 Supported File Formats

• .pdf
• .docx
• .pptx
• .xlsx, .xls
• .rtf
• .odt, .ods

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🧠 Model Information

• Categories: Legal, HR, Finance, Medical, Technical
• Method: Supervised machine learning (e.g., Logistic Regression / SVM)
• Text Representation: TF-IDF vectorization
• Classifier: Built with scikit-learn

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✍️ Author

Balaj Hussain
📧 [email protected]

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