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Aadi Umrani's Projects

100linesofcode icon 100linesofcode

Let's build something productive in less than 100 Lines of Code.

audio-player icon audio-player

A collection of amazing instrumentals Built using html, css, and javascript

b-mode-beamforming icon b-mode-beamforming

This code is a program that generates a B-mode image containing multiple scanlines from echoes received from an ultrasound transducer.

booking-app icon booking-app

This is a mobile application that manages bookings. Users can create, view, and delete their bookings.

employee-management-system icon employee-management-system

This is a web application built using the Spring Boot framework for Java. It provides a platform for managing employee records, including basic information, such as name, designation, salary, and more.

grape-detect icon grape-detect

This is an object detection program that detects and draws bounding boxes around grapes in a pre-recorded video or a webcam feed.

img-filters icon img-filters

This program applies different color filters to a selected image.

parking-system icon parking-system

This is a parking system that manages the entry and exit of vehicles.

physics-plot icon physics-plot

This is a web application that plots the graphs of different physics equations.

projectile-path icon projectile-path

This is a program that will print the equation of the projectile path, along with printing the horizontal range, time of flight, and the maximum horizontal range possible with the initial speed.

random-database icon random-database

This is a password-protected database management system that allows for data entry, retrieval, modification and deletion.

temp-humidity-iot-project icon temp-humidity-iot-project

The project utilizes Amazon Elastic Compute Cloud (Amazon EC2) instances for hosting the IoT gateway, and MQTT (Message Queuing Telemetry Transport) as the messaging protocol for machine-to-machine communication.

wheat-disease-detection icon wheat-disease-detection

The code diagnoses the disease suffered by a wheat crop from an image using a deep learning algorithm. The 3 diseases it can identify are loose smut, crown and root rot, and leaf rust.

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