Sentiment Classifier (Fine-Tuned BERT)

A FastAPI-based sentiment analysis API built using a fine-tuned BERT model.
The model is trained on the IMDB dataset and can classify text as Positive or Negative.

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Features

• Fine-tuned bert-base-uncased model using Hugging Face Transformers.
• REST API built with FastAPI.
• Predicts sentiment with confidence scores.
• Easy to deploy locally or on cloud (e.g. AWS, Render, Railway).

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Tech Stack

• Python 3.10+
• Hugging Face Transformers & Datasets
• PyTorch
• FastAPI + Uvicorn

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Setup Instructions

1️⃣ Clone the Repository

git clone https://github.com/svd009/Sentiment-Classifier.git
cd Sentiment-Classifier