A quick feature to full time assistant

This is a submission for the Built with Google Gemini: Writing Challenge What I Built with Google Gemini I first worked with Google Gemini while building my Stock Price Predictor, a project that used LSTM networks to forecast stock trends. I wanted the process of entering company data to feel simple, so I used Gemini to interpret user input. It could take a phrase like “Apple,” “Tesla shares,” or a direct ticker like “AAPL” and understand what the user meant to return the corresponding ticker for the company. It handled ambiguous inputs much better than regular parsing methods, and it made the tool more intuitive for people to use and really impressed me as this sort of functionality is very hard to implement with traditional methods. After that, I extended Gemini’s role in an ETL pipeline where it helped correlate company financial data from CSV files with text-based “news” reports. Gemini was used to analyse this data and helped estimate confidence intervals for whether companies wer