AI PROJECTS #8 FOR SOCIAL GOOD

We're thrilled to announce the 8th batch of our AI Projects, where participants collaborate in teams to develop innovative AI projects over a three-month period. 

If you're eager to collaborate on AI-focused projects with a community of fellow enthusiasts tackling both academic and real-world challenges in areas such as computer vision, NLP, medical applications, image classification, and object detection for social good; then this program is the perfect fit for you!

Take a closer look at what we have done before by reviewing the 6th and 7th batch reports of the program. 

This batch is exclusive for inzva alumni, please note that you must have completed at least one inzva AI program before! 

Note: BEV Foundation reserves the right to change or modify any of the conduct, design, and rules of the camp at any time and at BEV Foundation’s sole discretion.

The AI Projects is designed to support teams who are interested in applying to workshops and/or challenges at prestigious conferences, as well as individuals looking to expand their portfolio.

Curious to explore the details of the projects? Take a look at the previous batches’ virtual showcase and interview with the teams that joined this journey:

APPLICATION PERIOD

Applications are closed, thank you for your interest!

The results will be announced on February 17, 2024, until 23:59.

Our first meetup is on February 24, 2024!

PROGRAM OVERVIEW

In AI Projects, we conduct regular meetups and oversee project groups where participating members design and run open-source research projects in 12-week batches. 

Following our first online meeting, the second gathering will be a sleepover at Beykoz Kundura. The 3rd and 4th meetings, along with the Internal Presentation Day, will be held in our space in Taksim with an online attendance option. In addition to our regular meetups, we encourage our project groups to hold weekly meetups (face-to-face or virtual) to work on their projects. We are currently planning the showcase to take place as a sleepover at Beykoz Kundura, but please be aware that the program schedule may be subject to changes depending on the number of participants.

The AI Projects program is roughly divided into three sections: project idea & group formation, literature research, and implementation. We will encourage you to work on a project idea aiming to create social good. However, you are free to choose the project idea/research that you want to work on, as long as it complies with our basic requirements (stated in the FAQ). 

The participants can come together with their team members or join a project/team they are interested in. We also encourage you to come up with a project idea that can be aligned with a workshop, a competition, or a fund so that you can benefit from the results as much as possible.

Am I a good fit for this program?

You are a good fit for The AI Projects if you: 

● have graduated from an inzva AI program before (Deep Learning Specialization, Applied AI Study Group, Google ML Bootcamp).

●are a graduate of or a student in relevant study areas (computer science, computer engineering, mathematics, statistics, molecular biology, electrical and electronics engineering, mathematical engineering, industrial engineering, etc.) OR have completed the deeplearning.ai specialization (or equivalent AI courses) OR have a portfolio to prove a good understanding of the most common ML subjects. Please note that having basic programming knowledge will not be sufficient for this program. By applying, you accept that you have the required skills to fully take part in all stages of a project. 

● have the academic skills to read and understand papers on AI and deep learning.

● are committed to working collaboratively in a team project and dedicated to seeing the project through to completion.

Please note that this batch will only be available for the inzva alumni.

What am I getting out of this?

● Collaboration with other people working/studying in this domain,

● Hands-on work and research to build up a portfolio,

● Recognition (Our project group members will be featured on inzva’s website and on GitHub),

●In addition to the required computing power (inzva’s GPU hardware) that will help you implement your project, we also provide you with the necessary and laid-back virtual environment to brainstorm and socialize with like-minded people. 

●The participants will have the opportunity to present their thought processes and project outcomes to other AI enthusiasts from various backgrounds (including those from other universities, non-profits, industry, as well as academics) in our showcase.

You can see the virtual showcase of our 6th batch here.

●A solid online presence by getting featured on the inzva website through blog posts and/or videos.

●Experience about the means to write an academic paper if you wish to submit your work.

●Each team will get a mentor from inzva team who will be helping them throughout the process and answering questions about all stages of the project development. This assistance can be about the ways to write an academic paper, make a full-fledged presentation, support for content development, and more!

What do we expect from you?

● Please remember that these project groups are based on teamwork and collaborative learning, which means that we will be expecting your active contribution. By joining this program, you accept that you will spare at least 50 hours over the course of 3 months (4 hours per week) to develop your project. Please also remember that it is mandatory to attend the virtual meetings- of course, apart from emergency situations. Please make sure to check the meetup dates below.

● At the end of the 12-week period, we expect our teams to deliver a brief presentation expressing their thought process and project outcomes to an audience composed of our community members and/or AI enthusiasts focusing on the field at the academic or professional level. Since we are working with a time limit, we encourage you to find a project (or better, a paper) with available code and data; we will send you a spreadsheet like this one where you can write your proposed ideas upon acceptance, and you will pitch your ideas during the first meetup in a 2-minute presentation. (Do not worry! We will send you the format and everything.)

● We expect you to implement and understand the paper or the problem you are working on, at least enough to reproduce the results of the paper and try new approaches to improve it if possible.

● Keep the GitHub repository of your project updated.

● Write a blog post about the project as a giveback to the community.

Please note that inzva will share all the projects in its own GitHub repository and publish the blog post on the website.

How do I get involved?

To join the eighth batch of the program, fill in the application form, and make sure to check out our FAQ page for further information. We will reach out to the applicants via email personally about the result on February 17th, until 23:59.

OUR SPACE

WHAT IS SOCIAL GOOD?

Within the context of artificial intelligence practices, social good can be defined as projects related to solving a societal issue. But remember that these problems do not have to be direct  challenges; they can be any project that falls under the United Nations Sustainable Development Goals count; an NLP project with a focus on not-so-common languages such as Turkish, a computer vision project that uses satellite images to predict poverty, any health-related projects, all sorts of smart city projects, as well as nature-focused projects can be included in the list!

While all the prestigious conferences have their own “AI for Social Good” workshops that welcome projects from across various domains (see papers accepted in NeurIPS), companies such as Google and Nvidia also accept proposals to fund social good projects and initiate their own challenges within conference tracks (see the showcase video of a team from our AI Projects #4-5 that will submit a paper for the CVPR NVIDIA AI City Challenge).

To get more ideas, please check out the projects supported by Google’s Impact Challenge. To find data, you can check out sources like Google Data Search, as well as Kaggle Datasets.

Note: BEV Foundation reserves the right to change or modify any of the conduct, design, and rules of the camp at any time and at BEV Foundation’s sole discretion.

All participants have to abide by our CODE OF CONDUCT  and LETTER OF CONSENT. 

A  BEV Foundation project inzva is a non-profit hacker community organizing study and project groups as well as camps in the fields of AI and Algorithm; and gathering CS students, academics, and professionals in Turkey.

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