HEMANTH ORUGANTI

As an AI Developer Intern, I developed a grammar correction tool using Python and OpenAI’s GPT-3.5-turbo API. I designed and implemented a user-friendly graphical interface with Tkinter, allowing users to upload text files, view grammar-corrected content, and save the output. The project involved integrating machine learning and natural language processing (NLP) techniques to automatically detect and correct grammatical errors. I also handled file input/output operations, ensuring seamless user interaction and data processing. This experience enhanced my skills in API integration, Python programming, and developing solutions using AI technologies.

Developed a stock price prediction model using historical stock data and machine learning algorithms such as XGBoost and Random Forest. Performed extensive data cleaning, feature engineering, and time-series analysis to enhance model accuracy. Evaluated model performance using metrics like Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). Visualized prediction results using Matplotlib to help stakeholders understand trends and make informed decisions.