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JSON
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JSON
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Private FBO in Montenegro
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Report on the Analysis and Data Collection on Dairy Industry in Montenegro
Report on the Analysis and Data Collection on Dairy Industry in Montenegro-
PDF
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PDF
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Annex 2. Web-scrapping
A web scrapping code was generated to improve the efficiency of collecting relevant food data-
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Annex 4. Food-image-recognition
Food image recognition is performed via artificial inteligence models. For this purpose, it was created a proof-of-concept in a jupyter notebook and several similar services...-
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Annex 5. Geolocation
This script creates an interactive map using the Folium library and queries OpenStreetMap data via the Overpass API.-
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Annex 6. Recipes
This code demonstrates the extraction of data from a database either locally or through an API. Its primary focus is on food-related information, such as details from...-
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Annex 3. Translation
This is a python code that enables the translation of text between 100 different languages via artifitial inteligence. Additionally, this code supports transliterating text...-
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Annex 1. Semantic-comparison-faiss / Intermediate report 2023
A python script was developed that enables the mapping and mapping training between two different lists. The mapping process is performed by AI models allowing for semantic...-
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Milestone 5. Business plan for a Montenegrin start up.
Thi milestone describes a business plan for a start up in Montenegro. This business plan has been developed in the FoodDecide project.-
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Milestone_3. Requirements on data standards
This delivery describes a proposal for an open information exchange standard for data relevant in food-borne disease outbreak investigations.-
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XLSX
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DOCX
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Private Milestone_4. Demonstrator of a software solution for decision support in Mont...
This delivery describes the KNIME tool, the FoodProcess Web Application and the FoodDecide Backend Service as three different software solutions for decision support in... -
Private Milestone_2. Algorithmen zur Erkennung von Verteilungsmustern
This delivery provides the description and development of an algorithm for the detection of distribution patterns.