Deep Learning Projects
Lane Detection Using Deep Learning
This is for advanced driving assistance system (ADAS) which will detect line boundaries from a video stream and detect the lane therefore hardware accelerators such as FPGA and GPUs are required to achieve real time performance.
Traffic Sign Detection Using Deep Learning Project
TSR is a technology by which a vehicle is able to recognize the traffic signs put on the road e.g."speed limit" or "children" or "turn ahead". This is part of the features collectively called ADAS.
Face Mask Detection Using Deep Learning
In the background of the COVID-19 pandemic, institutions such as the academy suffer a great deal from practically closed globally if the current situation is not going to change.
Digit Prediction (MNIST Dataset) Deep Learning Project
The MNIST dataset contains 60,000 training images of handwritten digits from zero to nine and 10,000 images for testing. So, the MNIST dataset has 10 different classes.
Image Classification (Dog and Cat) using CNN Deep Learning Project
Cats vs Dogs classification is a fundamental Deep Learning project for beginners. If you want to start your Deep Learning Journey with Python Keras, you must work on this project.
Face Detection using OpenCV Deep Learning Project
It is a trivial problem for humans to solve and has been solved reasonably well by classical feature-based techniques, such as the cascade classifier.
Detection of an object in a motion video Deep Learning Project
This project deals with an efficient mechanism of using deep learning in the framework of granular computing based on the recent investigation. The key to granular computing is to make use of granules
Movie Recommendation System Deep Learning Project
User ratings on items and/or auxiliary information to make recommendations on items, to get ratings for improved recommendation and they should be accurately recommended to give application..
Recognition of Speech Emotions Deep Learning Project
This proposes a speech emotion recognition method based on speech features and speech transcriptions. Features such as Spec-trogram and Mel-frequency Cepstral Coefficients help retain emotion-related low-level characteristics
Automatic License Number Plate Recognition system
Automatic number plate recognition is an image processing technology which uses number plate to identify the vehicle. The objective is to design an efficient automatic authorized vehicle identification.
Facebook data analysis Deep Learning Project
Facebook builds its business by learning about its users and packaging their data for advertisers. It then reinvests this money into offering us new, useful functionality.
Fake News Detection Deep Learning Project
SocialTruth Project Approach to Online Disinformation (Fake News) Detection and Mitigation. social network connections and flow observations can be examined to detect misinformation
Gender and Age Prediction Deep Learning Project
parameters and to evaluate their relative impact on the resulting gender and age prediction accuracies. As in pure classification ages are encoded by vectors of the dimension
Music Genre Classification Deep Learning Project
We will present how to use Re-stricted Boltzmann machine algorithm to builddeep belief neural networks.The goal is to useit to perform a multi-class classification task oflabelling music genres
Social Media Bot Deep Learning Project
Broadly speaking, social media bots are automated programs used to engage in social media. These bots behave in an either partially or fully autonomous fashion, and are often designed to mimic human users.
E-commerce Chatbot Deep Learning Project
This paper describes a website based chatbot. This chatbot can make it easier to interact with the website. The bot understands and converses with the user in Simple Language.
Social Distancing Analysis for Covid 19 Deep Learning Project
The research team has utilized privacy-protected mobile device location data, integrated with COVID-19 case data and census population data, to produce a COVID-19 impact analysis platform that can inform users about the effects of COVID-19