Medicinal Foods - Machine Learning

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Idealist.org

Recruiting Organization: M4A FOUNDATION - CROWDDOING

Project Overview:


Project Name:


Medicinal Foods


Project Duration: (in months)


6-12 months (Ongoing)


Project outline:


Use citizen science to gather and validate data about the different foods and food-preparations from both traditional knowledge and current scientific enquiry.

To make such data available for use by anyone in the world through online apps.

Role Summary:

· Review requirements and identify areas where applying machine learning/ NLP techniques can add value to the end product


Essential Tasks:

· 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:

* 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:

* Familiarity with NLP/ supervised and unsupervised learning models, CoreML, python, Tensorflow/mxnet, are a plus.


If you have any questions about processes for joining CrowdDoing.world as a volunteer to support our efforts in systemic change please write to volunteerorientation@crowddoing.world

Stipend ProvidedFalse

Training ProvidedFalse

Housing AvailableFalse

Language/Cultral Support AvailableFalse

Wheelchair AccessibleFalse

Fee RequiredFalse

Fee Amount: None

This opportunity is recurring

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Mission Statement

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Description

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WHEN

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WHERE

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(38.67748,-121.06583)
 

SKILLS

GOOD FOR

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REQUIREMENTS

  • WEEKENDS, FEW_HOURS_MONTH

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