Muna Numan Said's Projects
ai-class-scheduler is an intelligent class scheduling system that leverages artificial intelligence techniques to generate optimized timetables for educational institutions. It aims to efficiently allocate classes, instructors, and classrooms while considering various constraints and preferences.
A buzzer that when the switch button is pressed the buzzer produces a sound of your liking
Implementation of Structure Array
This repository contains the code for an assignment focused on implementing and evaluating artificial neural networks using R. The project explores various configurations of neural networks to classify the Iris dataset, which consists of measurements for different Iris flower species.
Delivery management system for small businesses, designed to streamline order processing, tracking, and logistics. This solution ensures efficient, reliable, and quick deliveries to enhance customer satisfaction and operational efficiency.
The Ersilia Model Hub, a repository of AI/ML models for infectious and neglected disease research.
Fetch imessages from chat.db
WallStreetBets Stock Research Classifier aiming to streamline stock research for retail investors by quickly identifying top stock trends.
Collection of leetcode company tag problems. Periodically updating.
Finance App Using Html, CSS and Javascript
Analyzes M-Pesa transaction messages and provides useful insights about your spending habits. It categorizes transactions into different categories like Grocery, Travelling, Miscellaneous, and House expenses.
Nmstate is a library with an accompanying command line tool that manages host networking settings in a declarative manner.
100 numpy exercises (with solutions)
Osm-Fieldwork is a project for processing data collection using OpenDataKit into OpenStreetMap format, and other utility programs useful for field data collection.
A realtime web application to detect skin cancer.
High-Resolution Image Synthesis with Latent Diffusion Models
using a NOT GATE to light on and off street lights automatically
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.