Cawan Project: AI Data Labeling Skills Training

This project aims to equip the community especially the women of the AI Data Labeling Skills training and create new job opportunities.

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Eligibility

  • Yes, I fulfill all of the eligibility criteria.

Initiative's representative name

Cherry Murillon-Cubacub

Initiative's representative date of birth

January 17, 1975

Initiative’s representative gender

  • Woman

Which eligible market are you based in?

  • Philippines

Where are you making a difference?

SAME

Website or social media url(s)

http://cawilai.co/ https://www.facebook.com/AI.Cawil/ https://www.linkedin.com/in/cherry-murillon-cubacub/

When was your organisation founded?

August/2019

Focus areas

  • Helping people adapt to technologies of the future
  • Reskilling and upskilling the workforce
  • Creating digital tools

Project Stage

  • Start-Up (first few activities have happened)

Yearly Budget: How much capital do you need to accomplish your proposed project?

  • $10k - $50k

Organisation Type

  • Hybrid

1. Founding story: Share a story about the "Aha!" moment that led the founder(s) to get started or the story of how you saw the potential for this to succeed

It has been my passion to turn technology and innovation viable for everyone. The Philippines is 20 years behind technology, innovation, and adoption. I take it as a challenge to share knowledge to the grassroots communities what little I know about technology and innovation. I want to break the barriers of academe walls and create open learning for everyone. AI is still an unexplored technology in terms of its use for building a more inclusive society and its applications towards a more sustainable environment (what we call"smart cities"); the CAWAN project is a step towards these. The CAWAN Project aims to build a community that understands Artificial Intelligence regardless of their education status.

2. The problem: What problem surrounding employability or financial capability are you helping to solve?

Approximately 5 million Filipino Women are not working due to household responsibilities and the lack of job opportunities in their rural areas; the latter has resulted in 1.23 million women leaving their families to work abroad. (Source: Philippine Statistics Authority, 2018-2019). This is not only for women in rural communities but to all able bodies that have been barred to get decent pay jobs because of location and low educational status.

3. Your Solution: How are you planning to solve this problem? Share your specific approach.

CAWAN Project AI Data labeling Skills training will provide AI skills training to hundreds and thousands of people in the grassroots communities with minimum skills to be able to do remote jobs with decent pay without living their households. The data labeling skills have wide industry demand that they can take advantage of even in their rural location. Cawil AI Solutions will also partner with the local government and Department of ICT to provide centers with the internet where they can upload and send the labeled images to clients anywhere, including overseas. We are also developing the proprietary AI data labeling platform that will be available on the web to be able to outsource annotation and data labeling to compensate for the demand for labeling all of the world. CAWAN data labeling application aims to provide a both services and training to meet the industry requirement of quality accurate training data for every type of machine learning application.

4. How are you innovating or using unique approaches to solving the problem?

Our use case is in Gloria, Oriental Mindoro, the Philippines where there are already a few women who, self-taught, do remote work on AI data labeling; they have an average weekly income that ranges from US$100 to US$200 depending on the amount of data labeling they accomplish. They wanted to have formal training in AI Data Labeling to be able to improve their skills. We have our own proprietary data labeling software that will automatically assess trainees of their competency and accuracy during the AI training. We are creating a new job skillset for a wide technology application that requires minimum educational skills that can be replicated remotely for sustainable work implementation.

5. Employability: how is your organization or project teaching people to develop the skills that they need to survive in the future job market?

The data labeling market is continuously growing as we enter industry 4.0 with an estimated US$1B business opportunities. CAWAN project is an AI-enabled solution that will provide an AI application and web platform that will be used for training in data labeling. We have customized the training module that is at par with the industry requirement. The data labeling skills have wide industry demand that they can take advantage of even in their rural location. The partnership with the local government and Department of ICT to provide centers with the internet where they can upload and send the labeled images to clients anywhere, including overseas clients. Accessibility and connectivity will be maximized through government agency partners to be able to bridge the gap in rural areas.

7. Marketplace: Who else is addressing the same problem? How does the proposed project differ from these approaches?

There are a lot of known companies in this type of business. Imerit, Samasource, Alegion and Scale. Our competitive advantage is the automation platform that we customized depending on the client. We compliment the need for data annotation, training for human resources and customized platform for different applications like autonomous vehicle, drones and IoT devices.

8. Impact: How has your project made a difference so far?

I am privileged to have an Australia Grant Alumni for the "pilot testing" of the CAWAN Project: AI Data Labeling Skills training to 25 women in Calapan, Oriental Mindoro.

9. Financial Sustainability Plan. Can you tell us about you plan to fund your project and how that plan will be sustainable in the short, medium, and long term?

Our short term plan is to conduct the AI Data Labeling skills to build our database and also our software and reach full accuracy. The AI data labeling skills training we offer for as a service with the based price of US$3,000 to government agencies that support training and employment initiatives, NGO's and outsourcing companies. Medium initiative is to complete the web application platform for overseas clients to avail of our annotation and automation services. The rate for these services is depending on the type of data they wanted. Usually the more high-value application the better the rate. Long term is to create a community of AI trained workforce to provide accurate data for different industry applications.

10. Team

Cherry Murillon- Founder, Lead Innovator, Business Development (Full-time) Simon Gregory Mabanta- Lead Technology Development (Full-time) Joseph De Guia- Technology adviser (part-time) Kobe Bryant Ruado- Software Architect (part-time) The three core tech team has a 3% equity share in our current structure. They are the core team, and as we fundraise for the full development and operation, investors will hold 8-10% equity depending on the amount of investment and interest rate.

Help Us Support Diversity! Are you a member of an under-served , under-represented, or marginalized group in your country of residence? (yes/no) (this question is optional – if you choose to fill it out, the response will not be shared with your fellow contestants)

  • This does not apply to me

If you selected “yes” to any of the categories above, please explain how being a member of this group has impacted you and your work?

N/A

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