Global Wheat Detection
URL: https://github.com/sayakpaul/Global-Wheat-Detection/
Description:
Showcases the use of deep learning to detect wheat heads from crops.
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Internet of Things
Jumpstart your prototyping without reinventing the wheel. The Intel® IoT Developer Program provides you with tools, templates, libraries, and more to accelerate IoT solution development.
IOT Based Accident Prone Device
URL: https://github.com/ParthSabhadiya/IOT-BASED-ACCIDENT-PRONE-DEVICE
Description:
In the ruler if people met with an accident at that time without not knowing information of accident emergency service not reach at time on accident place so we made one device that directly send to nearest emergency service,police station and relatives with latitude and longitude.
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Emotion Analysis using Non Linear Voice Signal
URL: https://github.com/tanmoy1999/Emotion_Voice_Analysis
Description:
Classifying different emotions using voice analysis using K Mean clustering. Currently we at a stage of predicting two emotions ANGRY and HAPPY and working on furthermore emotions like SAD and Lonely. This project will enable doctors or reachers to analyse patients who can't express their emotions.
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Image Adversaries 101
URL: https://github.com/sayakpaul/Image-Adversaries-101
Description:
Shows how to create basic image adversaries, and train adversarially robust image classifiers (to some extent).
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IoT projects
URL: https://github.com/geekdk/Internet-of-Things
Description:
Basic Iot project Tutorials
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Data Retrieving
URL: https://github.com/cythong/jimmyIOTStack.git
Description:
middle ware translate data to multiple protocol
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Intel Movidius Neural Compute Stick(NCS) with Raspberry Pi-3 for Image Classification
URL: https://github.com/akhilaku/Image-Classifier-using-Intel-Movidius-NCS-
Description:
For developing Deep Learning(DL) interference applications at the edge, we can use Intel's energy-efficient and low-cost Movidius USB stick. In this project we are going to use Intel Movidius Neural Compute USB stick with Raspberry Pi-3 for image classification application.
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Treatise of Medical Image Processing (TMIP) v0.2.0
URL: https://github.com/TebogoNakampe/TMIP-2019-nCoV-Recognition.git
Description:
Experiment 2: Coronavirus (2019-nCoV infection) Recognition using Deep Neural Networks for Computer Tomography (CT) image analysis.
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Using Intel Technologies & Oculus Rift to detect Acute Lymphoblastic Leukemia (ALL) Lymphoblasts
URL: https://github.com/aiial/hias-all-oneapi-classifier
Description:
Combines Oculus Rift's Virtual Reality technologies with Intel's oneAPI, OpenVINO & Neural Compute Stick to provide real-time classification of Acute Lymphoblastic Leukemia Lymphoblasts in peripheral blood samples within a Virtual Reality environment.
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Vision- A Face-Recognition Surveillance System
URL: https://github.com/oscillator25/Vision
Description:
This application is designed to detect and authenticate a person and notify him/her if some intruder is detected in the concerned area and then he/she will be notified of this with a picture of an intruder being sent to the predefined e-mail.
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Aify
URL: https://aifyjs.github.io/how-to/
Description:
A single library including which you can automatically bring the power of AI into your website, making it more accessible to people with visual and cognitive disabilities.
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MyYogini
URL: https://github.com/Aya-ZIbra/MyYogini
Description:
An app that goes with you to the gym and diagnoses your yoga pose. It gives you corrections and tracks your style progess. This is the ultimate exercise app. Ideally, it will learn over time your particular limitations and not push you so hard that you get injured.
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Vibration Analysis Deep Learning
URL: https://github.com/hexagontechinc/WIP
Description:
Streamed vibration charts are analyzed by an AI system in real time. Detected anomalies are logged and surrounding environment data is captured for further model learning purposes. The application is machine anomaly detection for predictive maintenance.
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Driver drowsiness detection
URL: https://github.com/shubham769/Driver-drowsiness-detection
Description:
A computer vision system made with the help of OpenCV that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsyion, can be used by riders who tends to drive the vehicle for a longer period of time that may lead to accidents
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AI & ML Based Google Assistant for an Organization Using Dialogflow & GCP
URL: https://googlee.technology/
Description:
I have created Artificial & Machine Learning based Google Assistant for our Saveetha Institute of Medical and Technical Sciences [SIMATS].With this Smart Assistant we can do all academic activity procedures such as We can retrieve the student details, Faculty details, Exam dates and Attendence etc.
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Nimble Maps
URL: https://github.com/dhelulodha/Nimble_Maps
Description:
A project that aims to solve three major problems of India i.e. Potholes, Illumination (Women Safety at Night) and Noise graph. We plotted each and every parameter in a single map. Crowdsourcing is the best way to collect data so to implement that user input is also taken to improve our dataset thro
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OxyGen
URL: https://github.com/singh728om
Description:
I have done with build a Machine Learning model to detect leaves of a tree to predict the chlorophyll per cm in the area of leaves with NASA dataset and classify types of trees to count max-min leaves in a tree. And finally, the next step to 6CO2 + 6H20 + (energy) → C6H12O6 + 6O2 calculates oxygen.
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Mc Rider and Mc Runner
URL: https://photos.app.goo.gl/MdpRfoYggwaRn6AS7
Description:
Phillips Medical EA ran a campaign dubbed Back to Rhythm aimed at teaching communities in Kenya about the importance of healthy living habits .I was hired as a consultant to build the Mc Runner and rider to help participants ride ,run and win an EAD defibrilator for their public hospitals placesetc.
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Ocularis
URL: https://github.com/gaurav-karna/Ocularis
Description:
A virtual assistant for the visually impaired – a containerized and unified solution to tackle some of the daily challenges faced by millions worldwide who have complete/partial visual impairment.
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Fall Detection Wearable
URL: https://youtu.be/W1VboHkwuuk
Description:
We have built an Elderly fall detection system to detect the fall - Real-time. It is a compact device and wireless too. Inside the room and also in the bathrooms, we shall detect the fall and alert the caretakers immediately. We have implemented the indoor localization as well.
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