Mani Sharan Bommakanti

Fingerprint Authenticity Detection using YOLOv10 A deep learning-based web application that detects whether a fingerprint is real or fake using YOLOv10 object detection, wrapped in a Flask web interface.

House Price Prediction using Machine Learning A complete Machine Learning regression project that predicts house prices based on features like location, area, number of rooms, amenities, and more. Includes full EDA, feature engineering, model comparison, and visualization.

Built an end-to-end NLP pipeline to classify text reviews as Positive, Negative, or Neutral. Used NLTK for tokenization and lemmatization, TF-IDF for vectorization, and trained 3 ML classifiers — Logistic Regression, Naive Bayes, and SVM. Visualized sentiment trends and model accuracy using Matplotlib and Seaborn.