Build NLP and Machine Learning Applications

About this Gig

I develop custom Machine Learning and Natural Language Processing (NLP) applications for automation, analytics, prediction, and intelligent data processing. My services include classification systems, sentiment analysis, OCR pipelines, predictive analytics, recommendation systems, NLP workflows, and end-to-end ML model deployment using modern AI and machine learning frameworks. What I can build: • Sentiment analysis systems • Text classification and NLP pipelines • OCR and document processing systems • Predictive analytics applications • Recommendation systems • Machine learning APIs • Data preprocessing and feature engineering • ML model deployment and automation Tech Stack: Python, scikit-learn, TensorFlow, PyTorch, OpenCV, NumPy, pandas, FastAPI, Streamlit Why work with me: • Strong AI and ML engineering background • Production-focused implementations • Scalable and efficient ML workflows • Experience with NLP and analytics systems • Clean and maintainable code architecture I focus on building practical AI and machine learning solutions that are accurate, scalable, and business-ready.

Requirements

To get started, please provide: • Project requirements and expected outcomes • Dataset or sample input data • Problem statement or business objective • Preferred ML/NLP functionality • Deployment or integration requirements • Any reference applications or documentation I can also help define the ML pipeline, model selection, and system architecture based on your use case.

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