Overview
Within the corporate world, many tasks are repetitive and time-consuming. In my role, I focused on automating document processes to improve efficiency.
Using Python, Pandas, Matplotlib, and Selenium, I automated report generation, formatting, and error analysis. Additionally, I integrated existing APIs and frameworks to incorporate AI, creating a virtual assistant powered by GPT-4 that could execute these automation scripts seamlessly.
Key features
✅ Automated Report Processing – Uses Python, Pandas, and Matplotlib to generate, analyze, and format reports dynamically.
✅ Web Interaction & Data Extraction – Leverages Selenium to gather and validate information from web platforms.
✅ AI-Powered Execution – Integrates GPT-4 and API frameworks to allow the assistant to intelligently run automation scripts.
✅ Seamless User Interaction – Provides an intuitive interface for triggering scripts, fetching insights, and handling document workflows.
Tech Stack
🔹 AI & Automation: OpenAI GPT-4, Python, Pandas, Selenium
🔹 Back-End: Flask/Django for API management
🔹 Front-End: React/Next.js for user Interaction
🔹 Database: PostgreSQL/MongoDB for storing processed data
🔹 Deployment: Docker, AWS/GCP for scalability
This project enhances productivity by eliminating manual work, reducing human error, and enabling AI-driven decision-making.
The virtual assistant serves as a powerful tool for businesses looking to streamline operations and integrate AI into their workflow.
DEMO
Video sent to potential client showcase use of AI assistant