Predictions are made using machine learning algorithms that adjust any machine-made process and detect errors. Multi-level encoding (MLA) can be either supervised, semi-supervised, reinforced, or unsupervised. Every one of them has value, but unsupervised is the most hands-off since it lets the machine figure out how to make sense of data and discover novel patterns without any human guidance.
We are continuously improving our AI software with enormous features helping to optimize production with less human effort. Already we have implemented AI based automation system for our clients that can easily trace any production defect and weight difference. Any result can be automatically seen in the ERP, enabling sorting out and replacing manufactured products. However, we are teaching our software to make them error-free when analyzing any data they take to add values.
We have several AI projects done and in development:
1. Agri-based AI software
2. Industrial automation
3. Pattern Identifier algorithms
4. Vehicle Management system
5. HR Management through AI
6. Education-based AI projects
7. Space app projects
8. Parcel Management AI projects
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