Deep Learning Model

Auto Image Captioning

Automatic Image Captioning is the process by which we train a deep learning model to automatically assign metadata in the form of captions or keywords to a digital image. Image captioning has various applications such as for annotating images, Understanding content type on Social Media, and specially Combining NLP to help Blind people to understand …

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Object Detection using Yolo v3

Object Detection can be defined as the task of object classification and localization. Object Detection plays an important role in many Deep Learning projects and AIoT Applications such as we need object detection for Autonomous Vehicles, we need it for security camera surveillance, and even for applications used by us for generating PDFs nowadays uses …

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Analyzing EEG brainwave data to detect emotions — on cAInvas

Detecting whether a human is experiencing a positive, negative, or neutral emotion based on EEG brainwave data analysis Photo by Lobster on Dribbble Brain cells communicate with one another through electrical signals. EEG, which stands for electroencephalography, is a method to record the electrical activity of the brain using electrophysiological monitoring. This is done through non-invasive (in …

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Classification on Organic Compounds

Photo by MaryArty on Dribbble Built a simple Artificial Neural Network using TensorFlow and Keras which classifies the organic compounds as either Musk or Non-Musk compounds Aim To develop a Deep Learning model that classifies the organic compounds as either Musk or Non-Musk compounds using python programming language and Deep learning libraries Prerequisites Before getting started, …

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Heart Disease Prediction using Neural Networks

Photo by Diana Pasternak on Dribbble Heart disease refers to any condition affecting the heart. There are many types, some of which are preventable. Share on Pinterest mikroman6/Getty Images. Unlike a cardiovascular disease, which includes problems with the entire circulatory system, heart disease affects only the heart. This project will focus on predicting heart disease using …

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Resume Screening using Deep Learning on Cainvas

Photo by Joe Le Huquet on Dribbble Resume Screening is necessary when companies receive thousands of applications for different roles and need to find suitable matches. For this project, the dataset originally consists of 2 columns — Category and Resume, where the Category denotes the field (eg: Data Science, HR, Testing etc.). By using the resume as an …

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