SVM classification on imbalanced datasets by changing the algorithm such that using concept of membership functions in fuzzy logic to get better prediction values.
It is very easy task to perform object detection on things which has already pretrained network or libraries, But trying to object detection on Custom or your own data is some tedious task.
In most of the cases kin relationship means Blood relationship is identified from genes of father/mother - child, which involves somewhat Biological terms, But now we want to make machine or model that can predict kin relationship using Computer Vision - one of the subfield of Deep Learning .
Alec AI Assist is a Machine Learning Chatbot that helps you fight against Fake News available on Google Assistant. Alec AI Assist is an initiative by InTru Innovations all curated in the fight against cyber threats and make a safe digital space by its developer Ayush Anand.
Achieving accurate predictions for a system failure with adequate time left is quite difficult. In this project, I present a simple approach to detect the failure by parsing the log files quite in advance. We generate an early warning before a failure condition arises
Object detection for autonomous navigation systems.
This project provides core support for performing object detection on navigation datasets. Support for 3D object detection and domain adaptation are in experimental phase and will be added later.
Twitter is a popular microblogging service where users create status messages (called "tweets"). These tweets sometimes express opinions about different topics. The purpose of this project is to build an algorithm that can accurately classify Twitter messages.
In this project, any images or body get recognized using an android app for the different use case. in this, I'm using TensorFlow lite and Andriod for developing an app which may help to any people to get recognize any object anything using cam scanner to use as per requirement.
This project demonstrates the use of TensorFlow Object Detection API (along with GCP ML Engine) to automatically detect Red Blood Cells (RBCs), White Blood Cells (WBCs), and Platelets in each image taken via microscopic image readings.
This project aims at improving efficient usage of the storage device by keeping relevant data from surveillance. In many scenario a surveillance camera looks at an empty corridor. We aim at recording the feed only when a human is detected in the feed.
SadiaX uses Intel distribution of OPENVINO and deep learning to detect the position of the patient and predict falls. https://www.youtube.com/watch?v=fPvs3ucskVY
This project was implemented for those who cannot hear or speak or both. The pipeline takes in the video feed of the user who is communicating in signed language. The same is converted to English alphabets.
We wish to improve the utilization of public transport in the metropolitan cities of India. Following are some of the problems which are directly impacting the utilization of public transport systems: 1. Bus bunching 2. Unawareness of passenger count 3. Lack of robust feedback system.