Adegoke

Meffun

Built a Google image scraper that extracts images based on specified format and quantity, with an option to download and save them in a file named after the searched keyword. Utilized HTML, CSS, and JavaScript for the frontend, Python Flask framework for the backend, and the BeautifulSoup library for scraping. Additionally, I used SerpApi to simulate pagination, enabling the scraper to collect more than the usual 20-image limit. Designed for organizing images for AI model training and other purposes

Developed CLIA, an AI assistant for command-line interfaces (CLIs). Leveraged Python and Google's GenerativeAI Large Language Model API (text-bison001) to allow users to interact with the LLM on their CLIs and get answers to questions or coding solutions. It can also read text files or files that contain code, making it great for debugging and writing code. It works in CLIs such as GitBash, Vagrant, and PowerShell etc.

Built a MetaTrader 5 trading bot with Python using the MetaTrader5 API and pandas library. The bot includes basic trading functions such as opening trades, closing trades, and setting stop-loss (SL) and take-profit (TP) levels.