A Streamlit app using OpenAI to retrieve specific data fields from multiple entities (companies, URLs) through web search or web scraping. Demonstrates proficiency in web scraping, asynchronous programming, and OpenAI API integration.
This AI-powered web scraper uses natural language and vision to extract data from websites. It adapts to different page layouts, handles dynamic content, and avoids bot detection.
This project integrates OpenAI’s GPT with Google Home, enabling voice-activated interaction for a seamless smart assistant experience. I used Python, Flask, and the JOIN API to create this streamlined system.
Automating the saving of ChatGPT text to GitHub repositories, with optional Make.com integration for blog post handling. This project showcases my ability to connect AI-generated content with version control and other backend systems.
Automated content generation in Google Sheets using OpenAI’s GPT models, enhancing efficiency and consistency.
This project uses Python, pandas and OpenAI to analyze user feedback from Excel files, classify the feedback into relevant topics, and determine the sentiment of the responses.
This Google Apps Script automatically extracts event details from emails and creates events in Google Calendar, saving time and improving organization.
Automated cover letter creation using web scraping, AI text generation, and Google Docs API. This project highlights my ability to integrate complex APIs and AI models to solve a real-world problem.
Automated system that scrapes web articles, summarizes them using AI, and stores them in a database.
This project automates EDA using Python and GPT-4, providing quick insights, identifying issues, and making recommendations.