Mani Sharan Bommakanti
"Python & ML Developer | Open to Remote Work"
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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.
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.
🚀 Just joined Contra! I'm a final-year AI & Data Science student from India, specializing in Python & Machine Learning.
Currently working on:
🔹 Fingerprint Liveness Detection using Vision Transformers
🔹 Sentiment Analysis using NLP & Scikit-learn
🔹 House Price Prediction ML...
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.
