I am looking for an experienced AI & NLP developer to build a small, focused text classification system powered by machine learning. The goal of this project is to create an API-based NLP solution that receives text input and returns a classification result (such as sentiment, topic, or intent). This is a well-scoped MVP project, designed to validate functionality without unnecessary complexity. No datasets, models, or initial code will be provided. The freelancer is expected to design the solution from scratch using best practices and lightweight, efficient approaches. Scope of Work: AI / NLP Component: Select an appropriate NLP approach (pretrained transformer or lightweight ML model) Implement text preprocessing (tokenization, normalization) Train or configure a single-label text classification model Focus on accuracy, clarity, and maintainability (not large-scale optimization) Backend & API Development: Develop a RESTful API using FastAPI or Flask Implement a prediction endpoint: Accept text input Return classification result in JSON format Handle basic input validation and error responses Testing & Documentation Test the API with sample text inputs Provide example requests and responses Add short setup and usage instructions Deliverables: NLP model (trained or configured) Python source code for the API Sample input/output examples Basic documentation for running the project locally