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

RetroSpectra is a real-time facial emotion detection application. It uses Convolutional Neural Network (CNN) to identify human emotions from live video feed. The application leverages a pre-trained model to accurately detect and classify emotions, providing an interactive and engaging user experience.

Image classification demo running on Flask

Udacity Deep Learning Nanodegree and all its projects.

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 :)

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

Final Thesis Dissertation in Fulfillment of our Bachelor of Science in Engineering (B.Sc.Engg) with major in Computer Science and Engineering. This research is entitled *Optimized Human-Emotion Detection in Written-Text using Hybrid Machine Learning Classification Algorithm*, with codename *OEHML* Framework.

image search engine made using deep learning and vgg model of cnn architecture

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.

This is my deep learning repository where I applied some deep learning state-of-the-art techniques and architecture to the dataset.