Showcasing Research and Development in Data Science, Web Development, and Academic Research
Welcome to the Academic Projects section, a comprehensive showcase of my research and development efforts in the realms of data science, web development, and academic research. Here, you will find a diverse collection of projects, each accompanied by detailed write-ups, code resources, and links to GitHub repositories.
These projects span a wide range of topics and methodologies, reflecting my ongoing exploration of the dynamic, ever-evolving landscape of technology and research. Whether you’re interested in machine learning algorithms, web development techniques, or the latest advancements in academic research, I hope these projects offer valuable insights and inspiration.
Note: This section is regularly updated with new projects and resources. Be sure to check back often for the latest updates!
Dive into the world of hash table techniques, focusing on linear probing and double-hashing methods, as you explore their performance characteristics, benefits, and challenges. Uncover the inner workings of linear probing and learn how rehashing can overcome its limitations. Delve into the efficiency improvements offered by double-hashing, making hash table operations more effective and versatile. Understand the practical implications and applications of these techniques, empowering you to optimize hash table usage in various scenarios.
Embark on an insightful exploration of partially and fully retroactive binary search trees (BSTs), their implementation, and performance compared to non-retroactive BSTs and simple rollback solutions. Dive into the general transformation approaches used to create retroactive BSTs, and analyze their performance under various conditions with sets of pseudo-random integers. Uncover the surprising finding that the fully retroactive implementation consistently performed slower than all other data structures, while the non-retroactive implementation emerged as the fastest.
Discover how transfer learning and the ResNet-50 network, pre-trained on the ImageNet dataset, revolutionizes flower image classification for retailers
Experience the future of customer support with a hybrid NLP chatbot, powered by Python, Flask, Seq2Seq architecture, and pretrained GloVe word embeddings for seamless technical assistance.
Discover the three key personality traits of expert software developers and learn how to create UML diagrams and Python scripts using the Builder pattern to model these traits
Dive into the development of a secure and functional ATM web application, with a focus on registration, login, and withdrawal processes. Discover key security measures, including URL redirect validation, password hashing, and account lockout after multiple failed login attempts. Learn how the project demonstrates a practical and secure approach to ATM software design.
Discover a groundbreaking process pattern designed to address and resolve mutually conflicting requirements in software development projects. This automated and scalable solution effectively manages conflicts among stakeholders' preferences, checks for discrepancies, and uses a coin flip or die roll to settle disputes. Ultimately, it generates a user interface tailored to the agreed-upon requirements, streamlining the development process.
Dive into the world of web-based systems with our fascinating project write-up on the enhanced Pothole Tracking and Repair System (PHTRS). Explore the Model-View-Controller (MVC) architecture, seamless user experience, dynamic calculation of repair costs, and the application’s adaptability to real-world scenarios.