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followers: 12.0 following: 15.0 repos: 55.0 gists: 0.0

Name: Fatema Moharam

Type: User

Bio: SWE | ML Engineer

Blog: https://moharamfatema.github.io/

Hi 👋, I'm Fatema

Software and Machine Learning Engineer

🌱 I’m currently learning Deep Learning
👯 I’m looking to collaborate on Web development projects
📝 I regularly write articles on https://wizardingweb.hashnode.dev/
💬 Ask me about React, Typescript and Git
📫 How to reach me [email protected]
⚡ Fun fact I learn Braille, Morse code, and about the brain in my free time.

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Fatema Moharam's Projects

algorithms-problem-solving

this repo will include every line of code related to algorithms, data structures, problem-solving, competitive programming... . since its creation.

analog-signal-modulation-matlab

DSB-SC, AM, FM & PM modulation and demodulation.

augmented-reality-image-mosaics

car-rental-system

A complete car rental app with front-end/client-side web app with react and back-end/server-side database managemet system with mysql and php

connect-4-python

An advanced version of Connect four game vs. Adversarial search based AI agent with heuristic pruning

data-classification-ml-python

classifying gammas (signal) and hadrons (background) using different classification techniques.

database-sql-labs

Implementing various tasks with SQL databases

discrete-maths-algorithms

Implementing common algorithms in discrete maths in C.

face-recognition-pca

Using PCA dimensionality reduction to create a face regocnition system.

grad-be

The back end of our graduation project deployment

grad-fe

The front end of our graduation project deployment

graduation-project

Video vision transformers for hierarchical anomaly detection in video scenes.

green-food

A recipe search and Health tracking web application

heartbeat-sounds

Heart Sound Segmentation And Classification | Kaggle Competition

http-server-client-python

An HTTP server that supports HTTP 1.1 GET and POST requests from any HTTP client, and an HTTP client with cache, both built from scratch on TCP sockets.

We intend to perform image segmentation. Image segmentation means that we can group similar pixels together and give these grouped pixels the same label. The grouping problem is a clustering problem. We want to study the use of K-means on the Berkeley Segmentation Benchmark.