Developing AI systems that understand, process, and generate human language. This repository houses the natural language processing (NLP), optical character recognition (OCR), chatbot, and text-processing solutions developed by AdamAI-Systems.
An intelligent, context-aware chatbot designed for customer support automation.
- Tech Stack: Python, FastAPI, Scikit-learn, Joblib, Uvicorn.
- Key Features: Fast API endpoints, intent classification, automated client support dialogs.
An object-detection style deep learning application that identifies and classifies characters from the ancient Musnad script (an ancient South Arabian writing system).
- Tech Stack: Python, TensorFlow / Keras, Flask, OpenCV, Pillow.
- Key Features: Multi-head CNN architecture predicting character objectness, bounding boxes, and classes simultaneously; web interface for image upload and inference visualization.
To run any of the projects locally, navigate to the specific project directory and follow the instructions in its respective README.md:
- For the chatbot: smart-customer-support-chatbot/README.md
- For the Musnad detector: Musnad_Final_Collection/README.md
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