About Quick Fact Checker
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+ QuickFactChecker is a machine learning–based web app that helps detect whether a news article is real or fake. It uses different models (e.g., Naive Bayes, LSTM) trained on the LIAR dataset to evaluate credibility and assist users in identifying potentially misleading information.
+ This project is now an official part of GirlScript Summer of Code – GSSoC'25!
+ 💻 We're thrilled to welcome contributors from all over India and beyond to collaborate, build, and grow QuickFactChecker!
+ Let’s make learning and career development smarter – together! 🌟
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+ 👩💻 GSSoC is one of India’s largest 3-month-long open-source programs that encourages developers of all levels to contribute to real-world projects 🌍 while learning, collaborating, and growing together. 🌱
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+ 🌈 With mentorship, community support, and collaborative coding, it's the perfect platform for developers to:
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+ ✨ Improve their skills
+ 🤝 Contribute to impactful projects
+ 🏆 Get recognized for their work
+ 📜 Receive certificates and swag!
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Our Mission
++ We aim to empower individuals to make informed decisions in an era of rapid information sharing. +
+ +Features
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+ ✅ Fake news classification using ML models (Naive Bayes, Logistic Regression, Random Forest, and LSTM).
+ ✅ Interactive web app built with Flask and HTML templates.
+ ✅ Automated NLTK Setup to prevent missing resource errors.
+ ✅ Preprocessed dataset included (train.tsv, test.tsv, valid.tsv).
+ ✅ Notebooks for data analysis & experimentation (liar-data-analysis.ipynb, dataset.ipynb).
+ ✅ Easy setup with requirements.txt.
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