JurisBeca
URL: https://github.com/dimmykarson/argGCN
Description:
Natural Language Process applied to Judicial Process
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Artificial Intelligence
Get the most out of your training, scoring, algorithms and frameworks on Intel® architecture for Deep Learning and Artificial Intelligence.
N.I.A
URL: https://github.com/srikarsamudrala/N.A.I-gaze-estimation
Description:
I have teamed up with my friends Sharan Babu and Matev to create a Gaze detection system that lets you control your desktop mouse with your eyes. With the help of Openvino we have completed out project.
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Detecting Acute Lymphoblastic Leukemia Lymphoblasts with Tensorflow/oneAPI/OpenVINO & Neural Compute Stick
URL: https://github.com/aiial/hias-all-oneapi-classifier
Description:
An open-source classifier programmed using the Intel® Distribution for Python* and trained using Intel® Optimization for TensorFlow*. The model is deployed on a Raspberry 4 using Intel® Distribution of OpenVINO™ Toolkit and inference is carried out using Neural Compute Stick 2.
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mRNA levels predictive model
URL: https://github.com/ofiryaish/NLA-project-20
Description:
The mRNA levels are essential for understanding cell behavior. A predictive model for mRNA levels, given the mRNA sequence and its initial level value, is presented. The predictive model is based on least-squares regression. Solving the problem with standard methods creates overfitting.
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computerPointerController
URL: https://github.com/echatzidaki/Computer_Pointer_Controller
Description:
Computer Pointer Controller app controls the mouse of your computer using the Gaze Estimation model, estimate the gaze of the user's eyes, and change the mouse pointer position accordingly. The Computer Pointer Controller app runs multiple models in the same machine and coordinates the flow of data.
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DashAI
URL: https://github.com/manikyabard/DashAI
Description:
DashAI allows its users to create record-breaking, state-of-the-art models with just their datasets, no coding required. DashAI takes care of hyper-parameter tuning, training, and explainability.
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NephronAI | Fighting chronic kidney disease using deep learning
URL: https://github.com/ayushanand18/nephron-ai
Description:
Around 37 million people worldwide die of chronic kidney disease each year. Still there are no extensive researches going on in the field. NephronAI helps us fight chronic kidney disease using deep learning. It is a web-based tool that can be used to detect as well as know the cause of the disease.
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HIAS TassAI Facial Recognition Agent
URL: https://github.com/AIIAL/HIAS-TassAI-Facial-Recognition-Agent
Description:
Security is an important issue for hospitals and medical centers to consider. Today's Facial Recognition can provide ways of automating security in the medical industry, reducing staffing costs and making medical facilities safer for both patients and staff.
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Hospital Automation Server
URL: https://github.com/AIIAL/HIAS-Core
Description:
The Hospital Intelligent Automation Server (HIAS) is an open-source hub that powers a network of intelligent IoT connected devices and applications.
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Wheat Detection
URL: https://www.kaggle.com/raviyadav2398/wheat-detection
Description:
I will detect wheat heads from outdoor images of wheat plants, including wheat datasets from around the globe.I will focus on solution to estimate the number and size of wheat heads.
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PEOPLE COUNT
URL: https://github.com/SIVASHANKAR-S/IntelEdgeAI-PeopleCountingApp
Description:
The people counter application will demonstrate how to create a smart video IoT solution using Intel® hardware and software tools. The app will detect people in a designated area, providing the number of people in the frame, the average duration of people in the frame, and total count.
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ADVANCED OBJECT DETECTION USING YOLOV4
Description:
In this Project, An AI application is developed to detect the objects in realtime.
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REAL TIME SOCIAL DISTANCE MONITOR AI APPLICATION
Description:
I have developed a Social Distance Monitoring application using YoloV4 and darknet database. This AI application can be implemented in any intel architecture using the IntelOpenVINO toolkit.
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People Counter App
URL: https://github.com/Nitin-Mane/People-Counter-App-Edge.git
Description:
The people counter application will demonstrate how to create a smart video IoT solution using Intel® hardware and software tools. The app will detect people in a designated area, providing the number of people in the frame, average duration of people in frame, and total count.
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Eye
URL: https://eye.4ir-abi.co.za
Description:
Eye is a mobile application that aims to reduce the number of unreported and dismissed cases of Gender Based Violence (GBV) crimes in South Africa. The application allows real-time video streaming with family and friends while playing a game to discretely report gender based violence crimes.
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Complaint Categorization
URL: https://github.com/TinaChandwani/NLP_model
Description:
A machine learning system which can identify the nature and category of the complaint posted.
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Detecting Liveness of a Fingerprint using Deep Learning
URL: https://github.com/souvikbaruah/CNN-Model-Detecting-Liveness-of-Fingerprint-using-Deep-Learning-
Description:
A CNN model designed to distinguish between a fake fingerprint and a live fingerprint. This concept can be used on fingerprint scanners to prevent different kinds of fraud. A comparison in performance and accuracy has also been made by making use of the predefined VGG16 Architecture.
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Pyropath: An ML Driven Forest Management Path-Planning Solution
URL: https://github.com/srikrishnamurthy/pyrogenesis
Description:
Pyropath automates the land management processes used by forestry specialists and first responders in order to prevent catastrophic wildfires and protect wildlife and people - all while saving time, accuracy, cost, and lives.
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A Barebones Image Retrieval System
URL: https://github.com/sayakpaul/A-Barebones-Image-Retrieval-System
Description:
This project presents a simple framework to retrieve images similar to a query image.
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Dual Language Virtual AI Assistant - One Quote
URL: https://github.com/amittomar-1/one-quote---Dual-Language-Google-Assistant-Action-
Description:
Here I have developed a custom action on Google Assistant that supports two languages - Hindi and English. This Action is published on Google Assistant.
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