Vipul Gupta

At CodSoft, I built supervised machine learning solutions for customer churn prediction, movie genre classification, and spam detection. I prepared datasets through preprocessing, exploratory data analysis, feature engineering, and text cleaning, then evaluated models using accuracy, precision, recall, and F1-score.

For my pneumonia detection project, I developed a deep learning system to classify chest X-ray images using a pretrained CNN and transfer learning. The project reached 95–96% validation accuracy and included an end-to-end computer vision pipeline for preprocessing, training, validation, and real-time prediction.

I also built a sentiment classifier for the Sentiment140 dataset using text preprocessing, stemming, TF-IDF, and Logistic Regression, achieving 79% accuracy. I’m seeking an internship where I can apply AI skills to impactful, production-grade products.