Medicinal Foods - Machine Learning

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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.

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

· 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.

* 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

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


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Mission Statement: CrowdDoing.world's Foods.& Herbs for Stress,Sleep & Anxiety Initiative aims to give people agency by educating people about their options with regards to their natural remedies for these aspects of their mental health. We do so by analyzing scientific research and clinical evidence, gathering new evidence through data science and citizen science, and recommending to individuals optimal combinations of teas, tinctures, and powders that can be used to achieve each individual's mental health goals. We conduct this research with the goal of allowing people to make informed decisions about their health and to increase access to healthy stress-coping alternatives. These healthy coping mechanisms can reduce reliance on harmful self-medication practices such as alcohol abuse or behavior likely to lead to opioid addiction. Value Proposition: Tinctures, teas and powders from herbal medicine combinations can represent better risk/reward ratios Through citizen science and data science over time we have the aspirational goal to meet and exceed evidence parity with regards to evidence of effectiveness for herbal medicines for stress & anxiety compared with pharmaceuticals. That mission is attractive for people to participate in as its an opportunity for global collaboration to create increasingly usable natural medicine for stress and anxiety. Each person can go upstream of their mental health challenges and adopt healthier coping mechanisms.

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