ashakajohnthompson-bit/3MTT-Voice-Text-Command-Classifier

A machine learning MVP that classifies short Pidgin and English voice/text commands for low-literacy users in Nigeria. # Voice/Text Command Classifier for Low-Literacy Users ## Problem Context In Nigeria, complex mobile banking and utility apps create barriers for low-literacy users. This MVP classifies natural language text/voice inputs into automated actions using Nigerian Pidgin and English commands. ## Core Features - Accepts short Pidgin/English inputs - Predicts user intent (Transfer Money, Buy Airtime, Pay Utilities, Emergency Call) - Displays prediction accuracy and confidence scores ## Tech Stack - Python 3 - Pandas, Scikit-Learn (TF-IDF Vectorizer + Naive Bayes) ## How to Run Run `main.py` in any Python environment or Google Colab.