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Medicinal Foods – Machine Learning

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Location: United States of America

Date: Flexible
Time: Flexible
People Required: 15
Estimated Time Required: Ongoing

More information: https://www.volunteermatch.org/search/opp3024416.jsp

RESPONSE RESTRICTIONS
Age: Any
Gender: Any
Must be verified by:

Description

Project Overview:
Project Name: Medicinal Foods
Project Duration: (in months) 6-12 months (Ongoing)
Project outline: 1. Use citizen science to gather and validate data about the different foods and food-preparations from both traditional knowledge and current scientific enquiry.
2. To make such data available for use by anyone in the world through online apps.

Role Summary: (Briefly explain the overview of the role in 1-2 sentences)
• Review requirements and identify areas where applying machine learning/ NLP techniques can add value to the end product
Essential Tasks: (List down the essential tasks that individual perform in the job)
• Analyze and prototype key deep learning and data analytics algorithms and applications
• Apply machine learning and other techniques to design and prototype intelligent, real-world applications
• Define the processes needed to achieve operational perfection in engineering functions, project management and system reliability.
Skills & Competencies: (List all critical skills needed for this role. Be specific)
• Python programming experience
• Software engineering experience
• Understands programming
• Ability & commitment to work independently and collaboratively with numerous people
• Excellent problem identification, problem solving, and analytical skills
Software tools & Program knowledge: (List all software tools & program knowledge or experience critical for the role. Be specific)
• Familiarity with NLP/ supervised and unsupervised learning models, CoreML, python, Tensorflow/mxnet, are a plus.

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