roshancharlie/College-Chatbot-Using-ML-and-NLP — reverse-engineered prompt

Reverse engineered prompt

Build me a simple college help chatbot as a small web app. I want a user to open a page, type questions about college stuff like admissions, courses, fees, timings, departments, or general campus related info, and get a quick reply in a chat style interface.

Please use Python and make it work as a Flask app with a basic HTML and CSS frontend. The bot should be trained from a dataset of intents, clean and preprocess the text, use NLP to figure out what the user is asking, and pick a response from the matching intent. If it makes sense, include the synonym based data expansion mentioned in the project so the model handles more ways of asking the same thing.

Keep it practical and easy to run locally with app.py. If there is already notebook based work, turn that into a usable app flow. Make the UI simple but nice enough for demo use. Also include whatever model saving and loading is needed so it does not retrain every single time unless necessary. Look up current docs online if you need to.

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