Meat shortage and how to ensure you get the best price!
This python script was more important than ever during the pandemic, as meat shortages had become a concern for many consumers. With this script, you can stay up-to-date on the availability and price of different types of meat at wholesalers within the GTA, ensuring that you can stock up on the items you need when they are available at a reasonable price. Not only did script allow you to track the price and availability of meat, it also included advanced features such as the ability to analyze the data over time to detect any changes in the price or availability of different types of meat. This is particularly useful for anyone looking to plan their meat purchases in advance and ensure that they can secure a consistent supply at a reasonable cost. In addition to its practical uses, the python script also includes a user-friendly interface that allows you to easily view the data. With just a few clicks, you can view detailed graphs and charts that show the price and availability trends for different types of meat over time, helping you to make informed decisions about your meat purchases. In uncertain times, this python script was an essential tool for anyone looking to stay on top of the availability and price of meat. It was created using Selenium, pandas, numpy and pyplot. The database was made with SQLite3.
Click Here to view more
Why re-invent the wheel?
This python script was required to easily send customized emails to hundreds of clients using Proton Mail. There was no need to manually compose and send each email individually - simply inputting your recipient list and choosing a few dynamic boilerplates, the script will handle the rest. This script was created out of a need to send custom emails through Proton Mail, which was not programmable through traditional APIs at the time. This project saved time and improved productivity. It was created using Selenium and SQLite3.
Click Here to view more
Inspired by the anime Jujutsu Kaisen
This Project was created using Node.js, Chart.js, Puppeteer, Cron, Cheerio and hosted on an AWS EC2. The bot was designed to provide users with real-time updates on the prices and movements of various cryptocurrencies, as well as information on non-fungible tokens (NFTs). It utilized various APIs and web scraping techniques to gather data from various sources, including etherscan.io, crypto oracles, open sea, gem.io, and others. It also kept track of users' asset holdings and digital asset trades, and provided charts to help users visualize market trends. In addition to providing up-to-date information on the crypto market, the bot also kept users informed about relevant news and updates from reputable sources like CoinDesk and CoinTelegraph. Overall, the bot was a valuable tool for anyone interested in staying informed about the rapidly-evolving world of cryptocurrency and NFTs.
Click Here to view more
To achieve anything in this game, you must be prepared to dabble on the boundary of disaster.
Other than the above mentioned tools, I've experimented with other frameworks such as Rust and Nuxt.js. This website being built on Next.js. I've also created a myriad of other projects in my free time, for instance, and LED Matrix dashboard built on and ESP32 that reports server outages and other information such as news, time and weather using local Express JS GET endpoints. Other projects such as webcrawlers to see if GPUs are back in stock using node-fetch and axios. Working on other embedded systems such as battery-backed LORAwan transmitters that are off network to monitor home server uptime statuses, so in cases where WIFI and cell network are compromised or there is an outage, there is still a log of details and a potential to alert administrators.
Click Here to view more