I’ve practiced Telugu language annotation and transcription concepts for AI training and language-data projects, including scenarios with unclear speech, non-speech events, speaker changes, overlaps, and Telugu–English code-switching.
While preparing for remote AI data opportunities, I followed detailed project guidelines and quality requirements. I also practiced reviewing language content for accuracy, consistency, and clarity, including regional differences in Telugu usage.
For my Stock Market Prediction using Machine Learning project, I built an LSTM-based prediction model using Python and worked on data preprocessing, feature engineering, and model evaluation. I also developed a web-based system to visualize water-quality data.
