Projects

Key Skills: Text Classification, LSTM Layers, Gradio, Filtering, Neural Networks, Machine Learning, Speech Recognition

• Developed and implemented a deep learning model for toxic comment detection, focusing on LSTM-based architectures and binary classification metrics.

• Conducted extensive research to establish a strong project foundation.

• Executed tokenization and vectorization processes to prepare comments for neural network input.

• Designed and fine-tuned the neural network, incorporating LSTM and Dense layers for enhanced prediction accuracy.

• Conducted comprehensive evaluations using binary classification metrics to assess model performance and draw meaningful conclusions.

Key Skills: PHP, PhpMyAdmin, AJAX, HTML, CSS, Javascript, JQuery, XAMPP, MySQL

• Utilized PHP, AJAX, HTML/CSS, Bootstrap, jQuery, XAMPP, and MySQL in the EmpBuddy project.

• Collaborated with the team to design and implement an employee performance evaluation system.

• Took charge of developing backend functionality using PHP and MySQL for efficient data management and processing.

• Employed AJAX to create dynamic and seamless interactions between the user interface and the server, enhancing system responsiveness.

• Leveraged HTML/CSS, Bootstrap, and jQuery to craft an intuitive and visually appealing user interface, prioritizing an exceptional user experience.

Key Skills: HTML, CSS, Javascript, JSP​

• Developed 'Retro Games,' an online gaming platform featuring a nostalgic collection of childhood games like PacMan and Pong.

• Conceptually integrated nostalgia, characterized by its positive, social, and past-oriented nature, into video game research.

• Focused on creating a website dedicated to online gaming as the primary project goal.

Key Skills: Steganography, Python, Image Processing, Image Segmentation Security​​

• Explored and implemented steganographic techniques to securely embed sensitive medical information into medical images.

• Utilized Python and relevant libraries for precise image processing and segmentation to ensure accurate data extraction and embedding.

• Contributed to advancing data protection and privacy in medical imaging, thereby enhancing the field of image steganography in the medical domain.

Key Skills: Tkinter GUI, Sentiment Analysis, Python, Natural Language Processing, Web Scraping​​

• Developed a user-friendly Sentiment Analysis tool with a Tkinter-based graphical user interface (GUI) for seamless user interaction.

• Implemented sentiment analysis algorithm for accurate sentiment detection in various text sources.

• Utilized Python programming language and Natural Language Processing (NLP) techniques to process and analyze text data.

• Integrated web scraping capabilities to fetch and analyze sentiments from online articles, enhancing the toolkit's versatility.

• Designed for efficiency, ensuring swift sentiment analysis results for users.