Streamlining Japanese-English Translation with Advanced Preprocessing and Integrated Translation Technologies

The Dataset and the dialect identification problem were addressed by Qatar Computing Research Institute. I implemented a data-scraper, data-preprocessor (Regex and NLTK), data-modeling (SVM with TF-IDF and MarBert using HuggingFace) and deployment using FlaskAPIs locally.

Build custom vacab, Ham /Spam using tfidf , Movie review classification using TFIDF

Sentiment Analysis Mini Project using NLP and Logistical Regression along with Flask for micro-deployment of model

This repository contains the NLP Preprocessing techniques and state-of-the-art NLP Models

The Automated Answer Paper Evaluator leveragesmachine learning techniques to provide an efficient and accurate assessment of student answer sheets. This system integrates various technologies, including Microsoft Azure OCR, NLTK, and YOLO v8, to deliver a comprehensive solution for educational institutions.

Web application for detecting and translating different languages around the globe.

This repository contains code for preprocessing natural language data for use in NLP applications.

NLP pipeline based on Spacy and Gensim for topic modeling preprocessing in English and Spanish.