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title: NTNU × eVici Voice Ordering
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# NTNU × eVici Voice Ordering
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This organization hosts datasets, models, and experiments developed as part of a **Bachelor’s thesis at the Norwegian University of Science and Technology (NTNU)** in collaboration with **eVici AS**.
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Our goal is to build **practical, production-oriented language technology** for the agricultural sector.
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## Product Vision
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Farmers often need to place animal feed orders while working in environments where:
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- hands are occupied
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- gloves or machinery make typing difficult
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- screens are inconvenient or unsafe to use
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Traditional web or mobile ordering systems rely on **manual, form-based interaction**, which is slow and impractical in these situations.
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We propose a **voice-driven ordering module**:
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> A speech-controlled interface that enables hands-free, natural-language order placement directly integrated into eVici’s existing ordering solution.
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The system leverages:
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- domain-specific language understanding (NLU/SLU)
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- intent detection
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- slot filling / entity extraction
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- fuzzy matching of products and locations
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- dialogue management for clarification and robustness
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- low-latency inference suitable for real-world deployment
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The aim is **accurate, robust, and efficient order creation in real agricultural environments**.
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---
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## What we publish here
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This organization may include:
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- 📦 Synthetic and annotated Norwegian SLU datasets
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- 🤖 Fine-tuned Transformer/BERT models
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- 🧪 Exp
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