M. Asad Ali's Projects
APPP is an interpreter for a new language AP++
Dataset of Arabic tweets is cleaned and feature are extracted using Python.
Barcode detection and decoding using openCV and Zbar.
Candy World is game coded in assembly language using masm32. It is just similar to famous game candy crush.
Project Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]
Some CPU scheduling algorithms are implemented in C++.
This repository contains my Lab Tasks of Compiler Construction course
Assignments and Lab Tasks of my network security course.
It is an artificially intelligent chatbot which can interact with customers with voice.
E-commerce website built using HTML, CSS, PHP, MySQL, JavaScript, JQuery
Implementation of research paper "Deep Splitting and Merging for Table Structure Decomposition"
EResolver is a python module which helps you to find the solution for your syntax error.
Generate realistic human images that do not exist in reality using GAN
Simple Focus Stacking in Python: Merge a collection of photos taken at different focus depths into one image with sharp focus
A fighting game coded in C++. It is not completed project, so if anyone is interested, can complete this project and ask me for help if required.
iStudent is a platform where companies can find the internees, employees, workers for them. It provides the attested educational documents, certificates, curriculum vitae (CV) of the users.
Matrix equation solver
Mind reader - Think a name and this program will tell you what name it is after two little tasks performed by you.
Mission Plan Specialist Program C++
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Movie Review sentiment analysis using imdb review dataset with Sklearn library.
repo for NIMBLE: A Non-rigid Hand Model with Bones and Muscles
Hand pose and shape estimation
Extracting data from Image-based PDF files using OCR to JSON files
Learning Machine Learning Through Games and Animations
The dataset comes from the UCI Machine Learning repository, and it is related to direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict whether the client will subscribe (1/0) to a term deposit (variable y).