DIATOS (Diabetic Retinopathy diagnosis model and multimodal user interface) addresses the critical issue of early detection and diagnosis of Diabetic Retinopathy (DR), a leading cause of blindness globally. The project leverages machine learning and AI to enhance diagnostic accuracy for retinal images, aiming to alleviate the burden on healthcare systems by enabling quicker, more reliable screening.
ARVaidya is an innovative platform which is designed to make the ancient wisdom of Siddha medicine accessible to a global audience. The textbook of Siddha Medicine is available in Tamil, and its texts are expressed in poetic verses ("padal") that contain deep knowledge on medicinal plants and traditional healing methods. This project will bridge these gaps by providing detailed English translations of Siddha verses, by making the learners understand the texts and its meaning.
The Smart Traffic Management System is an innovative project designed to enhance urban traffic flow and improve road safety through the use of artificial intelligence. By leveraging real-time data collected from cameras and sensors, this system intelligently optimizes traffic signal timings, reducing congestion and waiting times for vehicles and pedestrians alike. GitHub: https://github.com/MuhammedDaud/Smart-Traffic-Management-System
Race Conditions, OpenMP , C++ Threads
In this post, I share my journey as a developer and DevOps enthusiast, from learning the basics of web development to automating cloud infrastructure and setting up Kubernetes clusters. I discuss the challenges I’ve faced, the skills I’ve gained, and the projects I’m working on to scale solutions and improve efficiency. Join me as I explore the exciting world of DevOps and cloud computing!
This article provides a comprehensive overview of Java, highlighting its key features, benefits, and applications. It discusses Java's platform independence, object-oriented nature, robustness, scalability, and vast ecosystem. Additionally, the article explores real-world use cases, such as Android app development, enterprise applications, web development, and big data processing. It concludes by emphasizing Java's enduring popularity and its value as a skill for developers.
Artificial Intelligence has the potential to become embedded into everything that we do. Just like the Internet, it's scaling rapidly and solving many problems and it's already changing the very way we lead lives or conduct business. This talk will cover productizing AI in the cloud, tools, performance and privacy in the context of Open Source vs Closed Source.
This paper is an extension based on my SLE'22 paper, with some exciting parallel computing work added! have a look at https://www.sciencedirect.com/science/article/pii/S0164121224000852 and feel free to dm me!
Our project utilizes AI to streamline the synthesis of research on AI and ethics. By identifying key articles, extracting crucial points, and creating a comprehensive knowledge graph, we provide concise summaries, highlight emerging trends, and address potential limitations. This offers stakeholders valuable insights into the current state of research, saving time and enhancing understanding.
Skin cancer is a prevalent and potentially life-threatening disease that requires early detection for effective treatment. This research aims to develop an advanced and accurate system for the early detection of skin cancer using machine learning techniques through android version App.
