I’d like a technically-minded partner to walk me through creating a clean, reusable GitHub repository and then bootstrap a small Natural Language Processing project inside it. We will focus first on text classification and sentiment analysis, and I would also like space for a generative-AI experiment later on. Here’s what I need from our collaboration: • A new public or private repo (we’ll decide together) with an intuitive branch strategy, clear README, licence file and issue templates. • Example Python code or notebooks that demonstrate text-classification and sentiment-analysis pipelines I can extend. • Guidance on best practices for commits, pull requests, and versioning so I can manage future generative-AI features smoothly. We can use the frameworks you are most comfortable with—Hugging Face Transformers, PyTorch, TensorFlow, spaCy or similar—provided installation remains straightforward for someone with basic Python skills. When you respond, please share past work that shows similar repository structures or NLP projects you have delivered. That will help me judge fit quickly. Once we agree on the structure, I’m happy to give you collaborator access and schedule a short kickoff call so we can get building right away.