Rasa AI Chatbot Setup and Training on Local Server
About This Project
Support teams drown in the same handful of questions — availability, delivery times, returns. For this build I designed and trained an AI chatbot with Rasa, running on a local server and wired into a Laravel web application to handle those repetitive queries automatically, in real time.
The approach: custom training data tuned to the business's actual questions, intent and entity handling in Rasa, and a Laravel integration that stores every conversation in the database — both for live context and for the analytics that show where to improve the bot next. Running Rasa locally kept the conversational data private rather than shipping it to a third-party service.
The outcome is a self-hosted assistant that answers common customer questions instantly and gets smarter from its own history. It is the pattern I use to automate front-line support without giving up data control.
Stack: Rasa, Python, Laravel, PHP, MySQL, NLP.
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