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aind-capstone

Machine Translation with RNNs. This is the capstone project for the Udacity AI Nanodegree.

android-intents-

using intents and google map and google chrome in my application

aoc_id

Arabic Dialect Identification on AOC data.

arabic_dialect-last-version

arabic_preprocissing_data

automatic-license-number-plate-recognition

This project aims to recognize license number plates, the project could be useful for security, monitoring, e-challan, etc. In order to detect license number plates, we will use OpenCV to identify number plates and python pytesseract to extract characters and digits from the number plates.

bikerent

calaculater-using-threading

Using concept of threading

chat-application-using-networking-and-threading-in-java

Using concept of networking and threading and sockets

chatbot_project

The dataset for a chatbot is a JSON file that has disparate tags like goodbye, greetings, pharmacy_search, hospital_search, etc. Every tag has a list of patterns that a user can ask, and the chatbot will respond according to that pattern.

cicd

classifying-iris-species-

KNN projeject

count_down_timer_python_gui

detect-fraudulent-activities-enron-email-dataset

emojify-facial-emojii-identification-

Emojify-Facial emojii identification

exam-cell-automation-system.

Currently Exam cell activity mostly includes a lot of manual calculations and is mostly paper based. The project aims to bring in a centralized system that will ensure the activities in the context of an examination that can be effectively managed.  This system allows students to enroll themselves into the system by registering their names or by sharing details to admin.  This is done by providing their personal and all the necessary details like Name, email, examination, semester, etc.  The provided details are then entered by admin into the system to create their hall tickets and also creates login id and password for them.  After creating the hall ticket, the system mails the link of soft copy to every student who have registered.  Students containing link in the mail can view and print the hall ticket and also can login into the system using login id and password to modify or update their details like Phone number, email-id, etc.  Admin is also responsible for generation of mark sheets for every registered student.  There will be total three to six semesters where each semester contains maximum seven subjects.  Admin can enter the marks of every student into their respective mark sheet using the system’s GUI or via Database entry.  Every student mark sheet will be created and printed separately.  Thus on a whole it serves as a complete automated software which handles the every tedious and complex process handled during the examination times by the exam cell of a college. This system comprises of 6 Modules: Description: 1. Student Register: - To register students have to just provide their Personal Details like Name, Address, Phone No, etc., and a photo, to the enroll himself into the System. 2. Admin Login: - Admin can view who has enrolled into the system, and can see all the new enrollment on his login. 3. Send Email: - After creating the hall ticket, the system mails the link of soft copy to every student who have registered. 4. Student Login: - Students can use their credentials provided by admin to login into the system 5. View and Update Details: - System allows registered students to view and modify/update the personal details like Phone number, email-id, etc. 6. Mark sheet Generation: - System allows admin to generate mark sheet of examination for every student. Advantages  This system allows only the registered students to login into the system which prevents unauthorized access. Helwan University - Faculty of Computers and Information - Computer Science Department Module: CS251 Software Engineering I – Spring “Semester 2” 2018-19 Page 30 of 44  The students can view their hall ticket by just clicking on link provided by admin via e-mail.  The students can even update their details as and when required.  Boosts enterprise accessibility.  Faster exam registration.  Easy result generation.  Improved accuracy of student data.  Better convenience for students.

face-recognation-using-random-forest

A facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There are multiple methods in which facial recognition systems work, but in general, they work by comparing selected facial features from given image with faces within a database. It is Helwan University – Faculty of Computers & Artificial Intelligence – General Division Computer Science Department – Module: CS361 Artificial Intelligence – Fall “Semester 1” 2019-2020 Page 9 of 9 also described as a Biometric Artificial Intelligence based application that can uniquely identify a person by analysing patterns based on the person's facial textures and shape. Build a face recognition system for identifying a person from grayscale digital images using Random Forests. You may use the following data-set: https://www.kaggle.com/serkanpeldek/face-recognition-on-olivetti-dataset/notebook

face-recognition-using-opencv

Using Open CV to create Face recognition project with python .. it will use your web Cam and draw a rectangle around Human Face

generate_tv_scripts_using_lstm_udacity_deep_learning

gg

hyhbybh

grokking-deep-learning

this repository accompanies the book "Grokking Deep Learning"

homeversit_website

homeversity

how-to-contribute-to-open-source

A guide to contributing to open source

ia-task

IA phase 1 (ASP.NET mvc)

image-caption-generator-with-cnn-lstm

In this project, we will be implementing the caption generator using CNN (Convolutional Neural Networks) and LSTM (Long short term memory).

imdb-data-analysis-udacitynanodegree

EDA for IMDB dataset

ir_project

job_recommendation_system

jobrecomendation

NlP project