The Tech Canvas Experimenters Hub is an interdisciplinary repository for collaborative projects spanning various fields, such as hardware like Arduino UNO, financial engineering, machine learning, natural language processing, and the corresponding mathematical foundations for all fields.

This one is advance version of the earlier one i.e Multiple disease prediction as we can run it just by cloning vs GitHub desktop and run it in vscode

this repository is part of multiple disease prediction system repository

This a multiple disease prediction based on user input which can predict upto 40 disease and trained on 131 parameters

this is combination of 3 different disease prediction system check readme for details

IDE Shortcuts

My solutions to practice problems of LeetCode

CSX 4506 / ITX 4506 Image Processing (Major Elective), Semester 2/2023

Using Python and Tableau, I created a report of borrowers who may have issues paying back the loan to Blue Bank.

Value Inc is a retail store that sells household items all over the world by bulk. The Sales Manager has no sales reporting but he has a brief idea of current sales. He also has no idea of the monthly cost, profit and top selling products. He wants a dashboard on this and says the data is currently stored in an excel sheet.

This GitHub repository contains an example demonstrating the application of fundamental image processing filters (Mean, Median, Gaussian) using Python and OpenCV, along with the addition of Salt and Pepper Noise.

This project consist of GUI based upon flight path simulation

It was the machine learning project of Speech Emotion Analyzer to find the emotion by extracting the features of the voices.

This project aimed at studying the relationship between the Spending Score and Age (firstly introduced in my Clustering Project).

Evaluering av universell utforming av ulike kildekode-editorer og blokk-editorer.

Analysis of a car make, companies and description of car dataset to solve data analysis problems

The newest way to use Python!

This is an implementation of boundary fill algorithm using Python. It can generate any polygon or circle of custom user given specifications and will colour the figure starting from a user provided point with a user defined colour.

An experiment to explore expertise in colour identification.