A tailored Natural Language Processing engine designed for tasks like sentiment analysis, chatbot responses, document summarization, and intent recognition — built using transformers and modern deep learning models.
An end-to-end visual AI package for object detection, image segmentation, face recognition, and quality control. Includes trained models, preprocessing tools, and deployment-ready APIs.
A data-driven engine that forecasts trends, customer behavior, or system failures using machine learning. Ideal for finance, retail, logistics, and healthcare applications.
A toolkit that scans AI/ML models for bias, ethical risks, and compliance issues. Generates fairness reports, model transparency insights, and improvement recommendations.
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