Fix README metadata

README.md

@@ -1,87 +1,11 @@
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-# AutoExamGen – AI Based Exam Question Generator
-
-AutoExamGen is an intelligent Python-based system that automatically generates exam questions
-(MCQ, short answer, and long answer) from input text using Natural Language Processing (NLP) techniques.
-
-## Features
-
-- **Text Preprocessing**: Cleans and preprocesses input text using NLTK
-- **Keyword Extraction**: Identifies important concepts using RAKE algorithm
-- **Question Generation**: Uses HuggingFace T5 model to generate questions
-- **Option Generation**: Creates multiple-choice options with distractors
-- **Syllabus-Based Generation**: Generate questions topic-wise from syllabus input
-- **Download Support**: Export generated question papers
-- **Multiple Interfaces**: CLI and Web interface (Flask) support
-- **JSON Output**: Structured output format for easy integration
-
-## Installation
-
-1. Clone or download this project
-2. Install dependencies:
-```bash
-pip install -r requirements.txt
-```
-
-3. Download required NLTK data (run once):
-```bash
-python setup_nltk.py
-
-## Usage
-
-### Web Interface
-The web interface allows users to upload text or documents and configure question types and difficulty.
-
-python app.py
-```
-Then open http://localhost:5000 in your browser.
-
-### Python API
-```python
-from question_generator import QuestionGenerator
-
-generator = QuestionGenerator()
-questions = generator.generate_questions("Your input text here")
-```
-
-## Project Structure
-
-- `app.py` – Flask web application (main entry point)
-- `exam_question_system.py` – Orchestrates the complete question generation pipeline
-- `question_generator.py` – Core question generation logic
-- `text_processor.py` – Text cleaning and preprocessing
-- `keyword_extractor.py` – Keyword and concept extraction (RAKE)
-- `option_generator.py` – MCQ option and distractor generation
-- `syllabus_processor.py` – Syllabus-based question generation
-- `local_question_generator.py` – Transformer-based (T5) question generator
-- `setup_nltk.py` – NLTK data setup script
-
-## Technologies Used
-
-- Python
-- Flask
-- Natural Language Processing (NLP)
-- NLTK
-- RAKE Algorithm
-- HuggingFace Transformers (T5)
-- HTML, CSS (Web Interface)
-## Author
-
-
-**Om Namdev**  
-B.Tech AI & DS  
-Aspiring Data Scientist
-=======
 ---
 title: AutoExamGen
-emoji: 🐢
-colorFrom: purple
-colorTo: red
+emoji: 📝
+colorFrom: blue
+colorTo: green
 sdk: docker
 pinned: false
-license: mit
-short_description: AutoExamGen is an AI-powered system.
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
->>>>>>> a56473e9e57932ec6018faca9490a4b3cda36e15
+# AutoExamGen
+AI-powered exam question generator using NLP and HuggingFace T5 model.