Alaa Al Samman's starred repositories
MMEmotionRecognition
Repository with the code of the paper: A proposal for Multimodal Emotion Recognition using auraltransformers and Action Units on RAVDESS dataset
Emotion-Recognition_SER-FER_RAVDESS
Multi-modal Human Emotion Recognition of speech clips (audio + video) contained in RAVDESS dataset using a two stream architecture
tutorai-hackathon
Text-to-Arabic Speech (mp3 audio file)
Automatic-Speech-Summarization-of-Mixed-Arabic-English-Speech
Many people don’t have time to hear a full audio, audio of two hours for example, to just find out where they are interested in the content of this audio. And here is where our project comes to life to solve this problem, by summarizing a full audio into a few lines of text.
ar-voice-bot
A program designed to seamlessly process Arabic input using Speech-To-Text, providing responses through ChatGPT, and delivering the output as clear and natural Text-To-Speech in Arabic
Babagaboosh
App that lets you have a verbal conversation with OpenAi's GPT 4
Arabic-Speech-to-Text-tool
Arabic Speech to Text tool allows you to recognize and convert Arabic speech to text
SpotifyPlaylistWithChatGPT
IOS app to Create Personalized Spotify Playlist and Song Recommendations using the Chat GPT API.
facial-expression-recognition-using-cnn
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
Fruit_Vegetable_Recognition
This project is about Fruits-Vegetables classification application which is built using Deep Learning + Streamlit.
Calorie-estimation-from-food-images-OpenCV
An ML model which is trained to recognise food images, calculate volume and estimate calorie content
10x-Interview-Buddy
Generate mock SWE interview questions (and answers) from job descriptions
ibm-hr-analytics-attrition-dataset
Business Problem IBM HR Analytics Employee Attrition & Performance. Predict attrition of your valuable employees. Attrition is a problem that impacts all businesses, irrespective of geography, industry and size of the company. Employee attrition leads to significant costs for a business, including the cost of business disruption, hiring new staff and training new staff. As such, there is great business interest in understanding the drivers of, and minimizing staff attrition. In this context, the use of classification models to predict if an employee is likely to quit could greatly increase the HR’s ability to intervene on time and remedy the situation to prevent attrition. While this model can be routinely run to identify employees who are most likely to quit, the key driver of success would be the human element of reaching out the employee, understanding the current situation of the employee and taking action to remedy controllable factors that can prevent attrition of the employee. This data set presents an employee survey from IBM, indicating if there is attrition or not. The data set contains approximately 1500 entries. Given the limited size of the data set, the model should only be expected to provide modest improvement in indentification of attrition vs a random allocation of probability of attrition. While some level of attrition in a company is inevitable, minimizing it and being prepared for the cases that cannot be helped will significantly help improve the operations of most businesses. As a future development, with a sufficiently large data set, it would be used to run a segmentation on employees, to develop certain “at risk” categories of employees. This could generate new insights for the business on what drives attrition, insights that cannot be generated by merely informational interviews with employees. Uncover the factors that lead to employee attrition and explore important questions such as ‘show me a breakdown of distance from home by job role and attrition’ or ‘compare average monthly income by education and attrition’. This is a fictional data set created by IBM data scientists. Education 1 'Below College' 2 'College' 3 'Bachelor' 4 'Master' 5 'Doctor' EnvironmentSatisfaction 1 'Low' 2 'Medium' 3 'High' 4 'Very High' JobInvolvement 1 'Low' 2 'Medium' 3 'High' 4 'Very High' JobSatisfaction 1 'Low' 2 'Medium' 3 'High' 4 'Very High' PerformanceRating 1 'Low' 2 'Good' 3 'Excellent' 4 'Outstanding' RelationshipSatisfaction 1 'Low' 2 'Medium' 3 'High' 4 'Very High' WorkLifeBalance 1 'Bad' 2 'Good' 3 'Better' 4 'Best' IBM HR Analytics Employee Attrition & Performance Predict attrition of your valuable employees IBM HR Analytics Employee Attrition & Performance IBM HR Analytics Employee Attrition & Performance
AI_Interview_Feedback_Platform
An online web video platform in Django that provides personalized feedback on a user’s communication skills in behavioural interviews
HR-Recruiter-Chatbot-with-Rasa
HR Recruiter Chatbot with Rasa
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who is eager to learn this amazing tech!
federated-learning-experiments
Experiments with Federated Learning using PyTorch and Flower.
Project-Darwin
Prototype for automation of the preliminary stages of recruitment using Data Science and AI. Web Application template for an ATS portal
deep-german
Classification of German nouns by genders using different RNN, CNN, and MLP architectures.
german-nouns
A list of ~100,000 German nouns and their grammatical properties compiled from WiktionaryDE as CSV file. Plus a module to look up the data and parse compound words.
machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
AI-MTHRFCKR
An Awesome Collection of AI Resources, MTHRFCKR!
wifi-stealer
Simple WiFi passwords stealer based on Digispark and smtplib
fast-stable-diffusionwik
fast-stable-diffusion, +25-50% speed increase + memory efficient + DreamBooth