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Projects

To implement and enhance EEG disease classification with CM-Attention Mechanism using Deep CNN-Bi-LSTM

Python, TensorFlow, Keras, Deep CNN, BiLSTM, Attention Mechanism, NumPy, Pandas, OpenCV, PIL, Matplotlib

  • Designed a new architecture of Deep CNN integrated with BiLSTM which has a customized mixed attention mechanism for classifying brain diseases from EEG-MRI images achieving 99.45% accuracy.
  • Merged, resized, normalized, data augmented, and prepared two datasets found on Kaggle containing brain MRI images (over 5000 images) to improve generalization performance.
  • Deep CNN was used to extract spatial features while Bi-LSTM captured temporal features. The attention layer improved relevant feature focus, thus enhancing classification accuracy.
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MedQuiz-Hub Game

HTML5, CSS, Bootstrap, JavaScript

  • Created a tailored interactive medical quiz platform for a medical college professor using HTML, CSS, and JavaScript.
  • Created a three-level immersion quiz system: Level 1 includes Multiple Choice Questions, Level 2 is a gamified Spin the Wheel, and Video-Based Question and Answering is Level 3.
  • Developed step-by-step strategies to allow effortless movement and accessibility in every device and platform.
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Sign Language Detection using Machine Learning

Python, Machine Learning, TensorFlow, OpenCV, Deep Learning

  • Developed a system for real-time sign language recognition using machine learning algorithms and video analysis.
  • Enabled seamless translation between sign language and text/speech, bridging communication between sign language users and non-users.
  • Aimed to close communication gaps and improve sign language accessibility across diverse contexts using advanced ML techniques.
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Attendance Management System using Web Development

HTML, CSS, JavaScript, PHP, MySQL, Web Development

  • Designed and implemented a digital attendance management system to streamline tracking for organizations, especially educational institutions.
  • Automated the process of recording student attendance based on their presence in class, maintained on a daily basis.
  • Aimed to enhance organizational efficiency and performance by digitizing attendance management processes.
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