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A transformer-based NLP project that analyzes text sentiment by preprocessing textual data, fine-tuning a transformer model, and evaluating its ability to classify sentiment accurately.
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Creatives on Contra have earned over $150M and we are just getting started
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Overview
Built an AI-powered prediction API that exposes a machine learning model through a fast, reliable REST API. The solution allows applications to send input data and receive real-time predictions in JSON format.
What I Did
Prepared and processed the dataset
Trained and evaluated a machine learning model
Built REST API endpoints with FastAPI
Added request validation using Pydantic
Implemented real-time prediction responses
Structured the API for easy integration with web and mobile applications
Technologies
Python, FastAPI, Scikit-learn, Pandas, Pydantic, REST API
Result
Created a reusable and scalable AI prediction service that connects machine learning models with real-world applications.
