Intel Software Innovators and Intel Insiders, this is a reminder that we have eliminated the DevMesh “Self-Reporting” process!
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Intel(R) Arc GPUs on Display at DreamHack Gaming Expo in Dallas, June 3-5, 2022.
An AI-ML powered solution that evaluates the quality of fruits and vegetables using image-based analysis, empowering farmers and consumers with accurate insights for better marketability and reduced waste.
As an AI enthusiast and Computer Science student at SZABIST University, I am passionate about exploring cutting-edge technologies like AI, robotics, and IoT. This blog highlights my journey, projects, and aspirations to leverage Intel technologies in shaping a smarter future.
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Creative packaging is a game-changer for businesses looking to captivate customers and leave a lasting impression. It’s not just about protecting the product; it’s about showcasing your brand’s identity and values in a way that resonates with your audience.
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
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