Browsing by Author "Sutradhar, Biplob Kumar"

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    Machine Learning Technique Based Fake News Detection
    (IEEE, 2023-01-15) Sutradhar, Biplob Kumar; Zonaid, Md.; Ria, Nushrat Jahan; Noori, Sheak Rashed Haider
    False news has received attention from both the general public and the scholarly world. Such false information has the ability to affect public perception, giving nefarious groups the chance to influence the results of public events like elections. Anyone can share fake news or facts about anyone or anything for their personal gain or to cause someone trouble. Also, information varies depending on the part of the world it is shared on. Thus, in this paper, we have trained a model to classify fake and true news by utilizing the 1876 news data from our collected dataset. We have preprocessed the data to get clean and filtered texts by following the Natural Language Processing approaches. Our research conducts 3 popular Machine Learning (Stochastic gradient descent, Naïve Bayes, Logistic Regression,) and 2 Deep Learning (Long- Short Term Memory, ASGD Weight-Dropped LSTM, or AWD-LSTM) algorithms. After we have found our best Naive Bayes classifier with 56% accuracy and an F1-macro score of an average of 32%.
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    SKILLSYNTH:
    (Daffodil International University, 2024-07-24) Zonaid, Md.; Sutradhar, Biplob Kumar
    SkillSynth is an innovative, interactive, and personalized education platform designed to enhance online learning by leveraging existing AI technologies. It offers a comprehensive solution addressing both content creation and learning experiences. For course creators, SkillSynth utilizes the OpenAI API to generate entire courses from prompts, including course descriptions, chapter outlines, and detailed content. This streamlines the course creation process, allowing educators to rapidly produce structured learning materials. For learners, the platform delivers an engaging experience featuring AI-generated text content, interactive quizzes, and personalized learning paths. SkillSynth distinguishes itself by effectively integrating OpenAI's capabilities to create diverse content and offer adaptive learning experiences. The platform also incorporates an AI-assisted student support feature, powered by the OpenAI API, providing learners with on-demand guidance throughout their educational journey. The expected outcome is a modern educational ecosystem that simplifies content creation for educators while providing learners with personalized, AI-enhanced support, thereby fostering more effective and engaging online learning experiences.