Google Gemini Vision Web application with Speech and Text

Project was based on an interest in Data Engineering, ETL pipeline. It also provided a good opportunity to develop skills and experience in a range of tools. As such, project is more complex than required, utilising dbt, airflow, docker and cloud based storage.

This project demonstrates how you can leverage the power of Large Language Models (LLMs), specifically Gemini AI, to interact with datasets in a natural, conversational way. By combining Laravel, Gemini AI, and CoreNLP, we enable intelligent querying and dynamic responses from structured data (such as a book dataset).

For this repository, I have created 3 different types of analytics and KPI dashboards: Microsoft Power BI, Google Data Studio, and Ruby on Rails.

These are examples for data analysis and data visualization samples. You can take it as you please for your work.

a project made for a technical test (July 2022)