Artificial Intelligence

Get the most out of your training, scoring, algorithms and frameworks on Intel® architecture for Deep Learning and Artificial Intelligence.

Gastrointestinal Disease Detection using deep learning architectures

URL: https://github.com/SagarBajaj14/Disease-Prediction-on-Hyper-Kvasir-dataset-using-various-deep-learning-architectures

Description:

Gastrointestinal disease detection is an important task in medical image analysis and the Hyper-Kvasir dataset is a widely-used benchmark dataset for this task. Various deep learning architectures are implemented and comparative analysis is performed to obtain best model for detection.

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MedBot+ Healthcare Chatbot

URL: https://github.com/neilxndr/MedBot

Description:

Introducing a healthcare chatbot using advanced encoder-decoder architecture with attention. It offers personalized, round-the-clock medical advice, leveraging a vast knowledge base. By tailoring responses and analyzing symptoms, it empowers users with accurate information, bridging technology and h

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MediScan

URL: https://github.com/SDeBAS/MediScan/tree/main

Description:

The "MediScan" project aims to transform healthcare by accurately converting handwritten prescriptions into digital formats. Leveraging advanced OCR and Artificial Inteligence (AI), it enhances patient safety by reducing errors caused by manual interpretation. Developed collaboratively on GitHub, Me

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oneHealth - Pioneering Precision Diagnostics for a Brighter Tomorrow

URL: https://github.com/HemantDutta/oneHealth

Description:

oneHealth leverages Intel's oneAPI to revolutionize healthcare. Seamlessly combining AI and medical expertise, it delivers accurate and rapid diagnoses for brain tumors, heart disease, and diabetes. Experience cutting-edge technology for precise, timely, and life-changing healthcare solutions.

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Fashion-Finder: Discovering Visually Similar Products with AI

URL: https://github.com/santhoshpandiarajan/Fashion-Finder

Description:

The Fashion Finder project utilizes k-nearest neighbors (KNN) to find similar fashion products based on image embeddings. It enables image-based product recommendations and similarity analysis, facilitating personalized shopping experiences and enhancing customer engagement in the fashion industry.

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