Powered By Amazon Web Services (AWS) & Adobe
September 21, 2020
UNTIL THE COMPETITION BEGINS
Cash Prize: USD $ 5,000.00
FIRST RUNNER UP PRIZE
Cash Prize: USD $ 3,000.00
SECOND RUNNER UP PRIZE
Cash Prize: USD $ 2,000.00
Business document workflow
Create a software application, running on AWS, that uses any of these Adobe services – PDF Embed API, PDF Tools API, or Sign – to simplify business document workflows such as employee on-boarding, legal signatures, petition signing, contactless delivery etc. Highlight how your application reduces paper, and better serves consumers, citizens or knowledge workers by saving time, money, or reaches underserved communities on any device.
Elevate security to limit digitally viewing and e-signing documents to certain Geo Locations
Provide an extra layer of security for government and highly regulated industries for viewing and signing documents. Build an app that allows web forms and electronic signatures using Adobe Sign and viewing of embedded PDF documents using the Adobe PDF Embed API; only when the user is present in the same geo-location (country) for which the agreement is valid for. Leverage AWS Route 53 to enable this capability.
Build a conversational response bot using Amazon Lex to ask a pre-defined list of questions related to sickness, travel history or exposure to screen employees returning to work or patients checking in for a medical visit. Create a PDF with the responses in a form, capture the patient signatures using Adobe Sign that can be stored in AWS S3 for regulatory purposes. Provide a copy of the document in the conversation that the patient can click and view using the Adobe PDF Embed API.
Enhance Magento with Natural Language Search capabilities
Hack Magento store search functionality to add natural language search capabilities using Amazon Kendra to answer questions nested within the site content such as return policy, shipping options, stylist recommendations or transaction related questions such as where is my order. Add answers from FAQ pages such as should I wear a mask while shopping in store from the in-store shopping guidelines.
Magento shopping assistant
Hack Amazon Lex and Amazon Personalize Extension for Magento to build personalized stylist conversational bot for shoppers on Magento websites. Bonus points for automating actions such as place an order with stored address and payment information.
Use any Adobe and AWS technology to bring your innovation to life and solve a real-world challenge or combine any of the above scenarios. Showcase unique value of AWS platform combined with Adobe services.
Adobe PDF Embed API & PDF Tools API
Build engaging digital document experiences with Adobe’s cloud-based PDF Embed and PDF Tools APIs, turning manual document processes into efficient digital ones. Now your team can take quick action on documents, workflows, and tasks — across multiple screens and devices — anywhere, any time.
Adobe Sign lets users click to launch automated signing processes for individual signers or thousands of recipients. Customers and constituents simply tap to sign documents from anywhere, anytime.
Magento Commerce is an eCommerce platform to create engaging shoppable experiences with rich, out-of-the-box features, an unrivaled ability to customize, and seamless third-party integrations.
Amazon Personalize creates real-time personalization and recommendations using machine learning for your websites and applications based on the same technology used at Amazon.com. You can get started without any prior machine learning experience using simple APIs to easily build sophisticated personalization capabilities in just a few clicks.
Amazon Kendra is an enterprise search service powered by machine learning that enables your users to intuitively search unstructured data using natural language. It returns specific answers to questions, giving users an experience that’s close to interacting with a human expert. Amazon Kendra is a highly accurate and easy to use.
Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.
API Services, Tutorials & Sample Code
Account & Access
Adobe, AWS and Customer Paradigm Solution Architects will be available for solutions consulting and support via Slack or email.
Each submission will be scored in each round based on the following criteria with a minimum score of 0 and maximum score of 5 points, with the final score being the average of the judges.
All developers, designers, and entrepreneurs who are 18+. Relevant technology companies and startups are also welcome to participate. All participants must meet the eligibility requirements outlined in the Hackathon’s Terms & Conditions
No, this is a global Hackathon. Developers, entrepreneurs and technology companies from all around the world are welcome to participate, subject to meeting the eligibility requirements in the Hackathon’s Terms & Conditions.
100 participants and 20 submissions (assuming 5 participants per team)
Teams can be created in advance and will be comprised of one to five individuals.
We expect the judging evaluation to take between 1-2 weeks and will defer to the judges to either do an online (virtual meeting) or offline evaluation. The solution architects from Adobe and AWS will help in consolidating the submissions to a top 10 list for Judges to review if we receive higher participation
Use Adobe and AWS technologies to bring your innovation to life and solve a real-world challenge. Get inspired or combine any of the six above mentioned example scenarios to showcase unique value of AWS services combined with Adobe services.
How do participants request the 100 dollar AWS credit. What requirements have to be fulfilled before the credits can be given out? Can multiple 100 dollar AWS credit be applied to the same account?
Participants have to register in the hackathon and should have an AWS account before they can receive the USD $100 credit. Only one 100 dollar AWS credit will be awarded per participating team. The team has to provide a one page overview of the technologies they are planning to use and that the technologies are not covered under AWS free tier. AngelHack will be coordinating and handing out the credit codes. Use of AWS promotional credits are subject to the terms and conditions here.
AngelHack will coordinate and award the prizes to winning participants.
Submission of projects has to be within 21st September 11:00 hours PST to 30th October 10:59 hours PST to qualify. Submission will be closed after and incomplete projects will not be considered for the hackathon.