Aryan Gupta's repositories
Sign-To-Speech-Conversion
Sign Language Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras frameworks.
Blind-Assistance-Object-Detection-and-Navigation
This is a vision enhancer based module specifically for the BLIND VICTIMS. The system is designed in such a way in which the blind person can take the help of THIRD PARTY APPLICATION which sends Real Time Frames to the LAPTOP-BASED WIRELESS NETWORKED SYSTEM. It works on REAL-TIME OBJECT DETECTION using SSD_MOBILENET algorithm and TENSORFLOW APIs . It has a core feature of approximate distance calculation and Voice - Based wireless feedack generation w.r.t the DISTANCE CALCULATION. It makes the work of Blind easy,efficient and reliable by sending wireless Voice based feedback whether the particular object is either too close to him or is it at a safer distance. The same system can be used from Obstacle Detection
Chest-Xray-Pneumonia-Prediction
Chest-Xray-Pneumonia-Prediction built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts.
TIC-TAC-TOE-USING-CLIENT-SERVER-SOCKET-PROGRAMMING-IN-C
In this project we have implemented a multiplayer tic tac toe game using socket programming in C in which a server creates the game in local area network. The players in LAN can connect to the server by using the IP address if the server. We have used the concept of thread.When a new connection arrives ,new thread will be created. To avoid race condition taking place between threads we have implemented the concept of mutex. Rules of the game:One by one the players have to enter a key ,‘0’ or ‘X’.A player can win the game when either of the diagonals have the same key i.e. ‘0’ or ‘x’ or any of the rows or the columns have the same key otherwise the game will result in a draw.
learn-python3
Jupyter notebooks for teaching/learning Python 3
DeepLearningExamples
Deep Learning Examples
tensorflow-dlrm
TF2 implementation of DLRM (inherited and modified from openrec's initial implementation)
VQA_Demo
Visual Question Answering Demo on pretrained model