In this section I have added the project files and jupyter notebooks I created while passing online courses or was just having fun with. I have listed the projects and briefly describing the technology stack used to solve cases.

• Study Projects
  • Oktoberfest Data Analysis
  • Food Delivery Time Analysis
  • Black Jack game using JavaScript
  • Generate random passwords using JavaScript
  • Color picker using OpenCV
  • Shape detection using OpenCV
  • Text detection using OpenCV
  • Calculate Order History
  • COVID-19 Guided Project - Analysis

In this section I will provide links to my github repositories containing code and jupyter notebooks I created while passing online courses or was just having fun with.

Code: Oktoberfest dataset.ipynb

Code: Food delivery time proj.ipynb

Code: index.html
Description: While learning javascript from scratch, I created a very simple version of black jack.
Technology: HTML, CSS, JavaScript
Results: Working game rendered with basic gameplay

Code: index.html
Description: This was scrimba's second solo project while learning javascript from the ground up. The project is built from the scratch using the template provided and displays randomly generated passwords with the click of a button.
Technology: HTML, CSS, JavaScript
Results: Displays passwords that are randomly generated with a click of a button

Code: colorpicker.py
Description: With some help, I was able to program a color picker while learning opencv from the base up.
Technology: Python, OpenCV
Results: Displays 3 windows, one of an original image, second is a window toolbar and third is the color picked image

Code: shapedetection.py
Description: With some help, I was able to program a shape detector while learning opencv from the base up.
Technology: Python, OpenCV
Results: Maps around the shape, and display the name of the shape on top of it

Code: text-detection.py
Description: With some help, I was able to program a text detector while learning opencv from the base up.
Technology: Python, OpenCV
Results: Maps around the text, and display the content of the text that has been detected on top of it

Code: amazon_order_history.ipynb
Description: I used numpy in python to analyze amazon data to see how much money I spent on the e-commerce website. (All figures are in rupees.)
Technology: Python, Pandas
Results: Displays a bar graph depicting the amount of money spent on certain years throughout time.

File:SQLQuery1.sql

Clone the project

  git clone https://link-to-project

Go to the project directory

  cd my-project

Install dependencies

  npm install

Start the server

  npm run start