Developed an error detection module in Python to evaluate the OCR output based on data and vector using machine learning tools - NLP and NER, Python libraries - NLTK, Pycaret, Spacy-displacy & Scikit-Learn and Algorithms - Smith Waterman and other ML text similarity algorithms, k-means for unsupervised anomaly detection, ORB/SIFT feature detection.Used Jupyter Notebook and Pandas to handle the data.