Code; Without Barriers Hackathon for Women in Tech Study and Tech Job
Register for the Hackathon Now at : https://bit.ly/azurehackathon
And, join our Launch Event at https://bit.ly/cwbhackathon
Hackathon Sponsors and Hiring Partner
Microsoft Presents Code; Without Barriers Hackathon
This is not just another hackathon. All women are invited to showcase their Data and AI skills to hack and advance in their career.
Benefit to Participants
(1)??You may apply to the fully sponsored Microsoft Azure Women in AI and Data Science Training to obtain AI900 or DP900 certificate. Registration and more info – https://bit.ly/azurewai
(2)??$2,500 in prizes
(3)??Microsoft Azure Vouchers (10). Microsoft Azure Vouchers worth 200$ to be distributed to all Problem Statement winning solutions.
(4)??Popular Prize by Girls in Tech. Public voting allows logged-in users to vote for their favorite projects. Voting is “+1” style where people can vote for as many projects as they like, but only once for each project. We're encouraging hackers to share their projects.
(5)??Internships and job placements will be awarded based on partner problem statement solutions https://www.microsoft.com/apac/codewithoutbarriers/jobs-and-internships
(6)??Feature on Microsoft website & blog
Hackathon Schedule
How to participate
Launch Event
Get all your questions answered in the launch event rsvp here -?bit.ly/cwbhackathon
# 1
Registration
In Devpost, click the?“Register”? button and create an account.
# 2
Personal Information Submission
Fill out the following form to submit your information to the organizers for communication -?Code; Without Barriers Form
# 3
Join Discord Workspace
Join the Discord Workspace:?Code; Without Barriers Hackathon ?and introduce yourself in the #general channel!?
# 4
Join Problem Stament Group?
Join the Partner provided Problem Statement Group in Discord
# 5
Review rules and challenges
Review the rules and guidelines on Devpost and challenge project ideas:?Code; Without Barriers Hackathon
# 6
Prototype, build, and test!
Work on your challenge project and submit via Devpost. It is highly recommended to use Discord to communicate with the partners
# 7
Submit!
Submit your completed project by the Sprint deadline of?May 16, 2022
Hackathon Topics
GBDi Problem Statements
Prize: Hiring Opportunities and free data science and/or data engineering training courses by GBDi
Problem statement:
Thailand has a mission to reduce car accidents and improve road safety. Therefore, it is crucial to understand the causes of the accidents and identify risky areas.
Participants are expected to perform two following tasks:
1. Data visualization to analyze possible factors of the accidents. It is highly recommended to use other open datasets (for example, datasets from?https://opendata.data.go.th/dataset ) to support your analysis.
领英推荐
2. A machine learning model to predict car accidents in each area and suggest how to prevent car accidents in the future.
Microsoft Problem Statements
1. How is Microsoft growin? Help unlock!
"What is a Form 10-K filing?" A 10-K is a comprehensive report filed annually by public companies about their financial performance.Information in the 10-K includes corporate history, financial statements, earnings per share, and any other relevant data. The 10-K is a useful tool for investors to make important decisions about their investments." Can you help decipher important details from the 10-k form for Microsoft?
2. Automating Invoice Reading
Wide World Importers is a logistic company, they get a lot of invoices from different vendors in different formats. They have a team today to manually go through each invoice and scan all invoices and write down important details like Invoice No, supplier details, Item wise details and total amounts. This process sometimes is prone to errors, and also very cumbersome.
3. Mental health assistant during the pandemic
Covid-19 has put new demands on society. How would you use technology to provide mental health assistance in a virtual scenario where many countries are limiting physical interaction?
Resources available here -?https://1drv.ms/x/s!AvJxssZTO60ye74ocwkdIQ2SNnA?e=JMNjtz
CIMB Problem Statements
Prize: Hiring Opportunities Mentor: Chloe Chan Pei Yee, Talent Acquisition, CIMB - Chloe Chan Pei Yee
Problem Statement:
1. Recruiter receives a huge amount of resumes everyday and the needs of hiring right talent is crucial. How do we use machine learning to screen and rank the top matching profile to expedite our screening process.
Success Criteria
1. Able to shortlist resume based on the skills set needed
2. Able to rank shortlisted resume based one needs of hiring (i.e: years of experience, domain)
You may retrieve the dataset related to this challenge via this link -?https://drive.google.com/drive/folders/1W8fO2oqgeWD4iNk1SqYKCXrytzPfnID8?usp=sharing
Just Analytics Problem Statements
Prize: Hiring Opportunities Mentor: Nisha Sullia -?https://www.dhirubhai.net/in/nisha-sullia-3388b49/
Problem Statements:
1. A manufacturing company faced higher complaints in the quality of their product, aircraft parts. The management wants to leverage AI to improve their quality check of products. A smallest dent on the surface can prove to be expensive impacting the integrity of the aircraft. With Image processing, the team wants to identify any defects in the products before approving the quality for shipment. The management would like to understand total defective and non defective parts in a batch of finished product images.
2. Create a power app to allow the car dealership to enter the details of the car sale into the database. The app needs to check for the quality of the data and approve only if the required data meets the data standards else request the dealer to review the data.
Resources available here -?https://1drv.ms/w/s!AvJxssZTO60yel4iGPcOAICRlHc?e=EZLvPD
Accenture Problem Statements
Prize: Hiring Opportunities Mentor: Priyanka Shah -?https://www.dhirubhai.net/in/compuwizpiyu
Resources available here -?https://1drv.ms/w/s!AvJxssZTO60yeU3k3F7U-IsZ7_M?e=YGdK3n
Problem Statements:
1. Speech to sign language conversion
AI for community initiative. Help the hearing impaired. Participants are expected to train an AI model that can convert text from videos/ presentations to Sign language (using the American Sign language data set)
2. Personalized Gym TrAIner
Get FIT with AI. Build your own AI powered GYM trainer that analyzes your exercise form and reps and tells us if you are really hitting it correctly. Analyze form and count of reps done via exercise classification and pose detection. Open data set available for this. Participants are expected to train a model based on certain exercise postures (yoga, for easier pose detection and availability of dataset).
3. AI SPY : AI powered image caption generation
AI “sees” an image and generates a caption. This is commonly used for auto tagging and generating metadata for images to organize and search images. Also used for marketing campaigns, generating tag lines for products etc. Participants are expected to train a custom vision model trained on available open image sets.
4. Vision COP: image search engine
Build an image search engine for identifying real source of images and searching images based on visual cues instead of text, tags. Content-based image retrieval (CBIR) is a system for retrieving relevant images based on a given image. The system consists of an image query and an image database. This is Heavily used for fake images/news tracking. It is also the basis of recommendations or “images like this… similar images to what you searched” kind of functionality. Participants are expected to take a test image and show similar images to the test item.
5. AI Professor
Search for documents that talk about the same thing contextually from a set of documents. Participants will be given a data set of some open-source categories (BBC news items). The BBC News Data set can be found here:?https://mlg.ucd.ie/files/datasets/bbc-fulltext.zip ?Participants have to classify the above news articles belonging to certain themes
6. Movies semantic search
Build a knowledge graph based in WIKI music open data set to related to movies. Data set :?https://www.kaggle.com/jrobischon/wikipedia-movie-plots ?The dataset contains descriptions of 34,886 movies from around the world.
Resources available here -?https://1drv.ms/w/s!AvJxssZTO60yeU3k3F7U-IsZ7_M?e=YGdK3n
Hackathon Contact Person
Elizabete Kalnozola
Program Director
+6018 266 1098