Bhopal, Madhya Pradesh, India
Summary
Led the development of an AI-powered fake news detection system, integrating advanced NLP and UI/UX features to enhance content credibility and user experience.
Highlights
Engineered a real-time fake news detection system using Python, logistic regression, and Natural Language Processing (NLP) techniques, achieving a 92% classification accuracy for misinformation.
Improved content credibility assessment by processing user-submitted articles and text inputs, ensuring reliable information dissemination.
Designed and implemented an intuitive, responsive user interface with Streamlit, incorporating auto-refresh, dark mode, and minimalistic design to enhance accessibility and user engagement for diverse users.
Utilized Python, Streamlit, Scikit-learn, and NLP to build a robust and user-friendly analytical solution.