The goal of this project is to predict the price of cars using Machine Learning and i have analyzed the variables that are significant in predicting the price of a car
Learn how to train a model and build a simple waste classifier that can be deployed on edge computing devices, optimized by Intel OpenVINO and Neural Compute Stick 2. The classifier can take an image of an item, classify it, and determine whether it belongs in a recycle, compost, or landfill bin.
A drone project that performs object detection and make a search engine out of the drone feed. Project under Machine Learning and AI society of Developer Students Club - IIT Patna.
Multimodal Review Generation (MRG) is a neural approach developed to simultaneously predict rating as well as generating review text for recommendations.
As detectors at CERN get stronger, the luminosity of particle collision increases. This means more and more particles are generated in each event and the classical combinatorial methods reach their limit in processing for such events. Scientists at CERN have turned to the machine learning solutions.
Integrated Vehicle Health Management (IVHM) for an aircraft is an upcoming area of research where an airplane is tracked with multiple sensors in all the parts of the plane. The data from the sensors shall render help in understanding the status of the aircraft and to predict failures.
This project aims at building an app using Tensorflow Lite that allows a user to point the camera to an object and the app classifies the object as recyclable, compost and non recyclable.
Bring access of Rocket.Chat into the world of 100 million+ Alexa enabled devices. The project's aim is to create innovative, high valued user experiences to the Alexa ecosystem - powered by open source Rocket.Chat. An Alexa skill will be developed for Rocket.Chat with various new features and suppor
The software is able to detect and store traffic violations that are related to intersections of vehicles with solid lines and traffic light violations.
Tested out various Machine Learning Models to predict ahead of time if an applicant is able to repay a loan based on a number of financial parameters. Used data pre-processing steps such as data binning and dimensionality reduction and ran various ML classifiers to get the highest accuracy
The driver support system is one of the most important features of modern
vehicles to ensure driver safety and decrease vehicle accident on roads. Apparently,
the road lane detection or road boundaries detection is the complex and most challenging tasks.
TrueSight is the potential solution to providing assistance to the visually impaired in a world of complex ambient activities and interactions. It leverages the power of AI in Computer Vision to analyze real-time events and generate feedback in the form of audio to keep the user as aware as possible
AI Doc is an end to end login plus payment plus ai service solution. An AI Classification project incorporated into which input chest x-ray scan and predict whether a chest x-ray scan image is having pneumonia symptoms or not.
a nlp web app where i am showing various nlp projects like question and answers, machine translation, sentiment analysis, named entity extraction, topic modelling, spam message classifier, text summarization, text generation, text similarity
Semi Automatic Image Annotation Toolbox with RetinaNet as the suggesting algorithm. The toolbox suggests 80 class objects from the MS COCO dataset using a pretrained RetinaNet model.
In this project we propose a method that generates contextualized lexicons for scene images using only visual information. For this, we exploit the correlation between visual and textual information in a dataset consisting of images and textual content associated with them. (Topic modelling + CNN )