A neural network that transforms a design mock-up into a static website.

🎙 Speech transcription and synthesis via Keras and Tensorflow.

Data Science Project

MAT-CNN-SOPC: Motionless Analysis of Traffic Using Convolutional Neural Networks on System-On-a-Programmable-Chip

Determine a seedling Species from an image based on Kaggle Competition

Sign Language Detection Using CNN

Cotton disease detection using CNN

Image classification demo running on Flask

Plant Disease Detection using Deep Learning

Udacity Deep Learning Nanodegree and all its projects.

CNN model to identify the presence of solar panels in satellite rooftop imagery

Cat-Dog Image Classifier using CNN, Deployed with Flask on Heroku

It is an app that do calculation like Multiplication, Addition, Division and Subtraction using Digit Recognition Model(i.e. trained with help of CNN).

Implementation of Algorithms such as ANN, CNN, RNN, Boltzmann Machine, AutoEncoders. Time to go deep :)

A lot is at stake when a plant is struck with a disease that causes a significant loss in production, economic losses, and a reduction in the quality and quantity of agricultural products. It is crucial to identify plant diseases in order to prevent the loss of agricultural yield and quantity

Project Base Learning 5 at DUT. Using Haar Cascade vs CNN Model to detect and recognize license plate.

Coursera Course

All the projects in this repository are END to END in the sense projects are done from scratch from data collection to deployment of the deep learning models.

This project involves an exploratory analysis of the capabilities of Convolutional Neural Networks (CNNs) for image classification, using a dataset of animal images. The goal is to understand how well CNNs can distinguish between different types of animals based on their images.

Traffic sign recognition