Key Features of Skolar:

User-Friendly Interface: Simply input your text and keywords, and Skolar will do the rest.
Advanced NLP: Leveraging the power of Spacy and NLTK for sophisticated text processing and keyword extraction.
TF-IDF Scoring: Analyze and score your research based on the relevance of keywords within your text.
Real-Time Results: Get instant feedback on your research work to help you improve and refine your papers.

Why Use Skolar?

Enhanced Research Quality: Receive quantitative feedback on the focus and relevance of your research.
Easy to Use: No need for complex setups or installations—just input your text and get results.
Support for Academics: Whether you are a student, researcher, or academic professional, Skolar can assist in elevating the quality of your work.

#Behind the Scenes: Skolar is built using:

Flask: A lightweight web framework to handle form submissions and process requests.
Spacy: For robust natural language processing.
NLTK: For stopword removal and tokenization.
Scikit-Learn: To compute TF-IDF scores effectively.
This project is a testament to the power of integrating modern NLP techniques with user-centric design, making complex analyses accessible to everyone.

I look forward to your feedback and am eager to see how Skolar can assist you in your academic and research endeavors.

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README.md		README.md
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