A growing collection of Machine Learning and Deep Learning projects built with Python. Each project covers the full pipeline — from data preprocessing and feature engineering to model training, evaluation, and real-time prediction.
- Fake Online Review Detection
Machine Learning | NLP | Random Forest | TF-IDF | Sentiment Analysis
Detects fake reviews using textual and behavioral features. Combines TF-IDF vectorization and sentiment analysis with a Random Forest classifier trained on the Kaggle Deceptive Opinion and Mendeley Reviews datasets.
File:fake review detection.py
- Indian Sign Language Recognition
Deep Learning | CNN | TensorFlow | Keras | Text-to-Speech
Classifies static Indian Sign Language (ISL) alphabet gestures (A–Z) from images using a Convolutional Neural Network. Includes real-time image upload prediction and text-to-speech output via pyttsx3.
File: indian sign language recognition.py
Tech Stack Languages: Python ML/DL: scikit-learn, TensorFlow, Keras NLP: TextBlob, NLTK, TF-IDF Vision: OpenCV, ImageDataGenerator Visualization: Matplotlib, Seaborn Other: joblib, pyttsx3, ipywidgets
About This repository is actively maintained and updated with new projects as they are completed. Each project folder or file includes well-commented source code and follows a consistent structure for easy understanding.