Data Extraction for Student's Admission Process

About DocDigitizer DocDigitizer is an AI startup providing a Cognitive Data Extraction service, with (near) 100% accuracy, with human-in-the-loop, zero setup, zero warm-up and full pay-per-use. We are exploring new uses cases and ways to deliver value to people and organizations. Project Scope Every year universities have to deal huge a huge load of new students and candidates that present a lot of "paper" work (even if it is fully digital via PDFs). This "paper" stresses the admissions and back-office departments. The project consists in full automate / eliminate the burden of data entry from documents by using DocDigitizer and providing a data interface that can be readily consumed the university ERP or backoffice apps. The project consists of: a) Analyzing the candidature, admissions and enroll process b) Defining the core documents exchanged between students and university c) Link the ERP or create a data exchange broker to which data extract from DocDigitizer can flow. d) If possible run a test with university ERP to proof the all concept. Students will be responsible for: Analyzing the candidature / admission process Defining the data flow Code the data broker Integrate and use the data broker More details will be provided during the initial interview. #AI, #IDP, #MachineLearning

Data Objects Semantic Engine

About DocDigitizer DocDigitizer is an AI startup providing a Cognitive Data Extraction service, with (near) 100% accuracy, with human-in-the-loop, zero setup, zero warm-up and full pay-per-use. We are exploring new uses cases and ways to deliver value to people and organizations. DocDigitizer platform extracts data automatically via AI/ML meshed with Human-in-the-Loop curation. As our AI/ML algos manage the human-in-the-loop becomes critical important to understand the performance of the all system taking into account millions. DocDigitizer is on a mission of not only extracting and structuring data but also create a simpler way of exchanging data easily. You define WorldObjects as countries, address or much more complex stuff like financial assets or logistics chains. Project Scope Positions available: 1-2 teams of up to 5 students. DocDigitizer just launched DocDigitizer WorldObjects , a new innovative platform for managing data at semantic level. WorldObjects is a add-on to Visual Code studio, downloadable from Microsoft Visual Studio marketplace : WorldObjects allows to build global and shared repositories. This way the community don't have to reinvent the wheel in creating yet another country table. The purpose of the project is to expand the object library, test the platform and suggest improvements. Students will be responsible for: Defining an object scope (imagine defining in financial area anything related to bank accounts: you have IBAN, Swift, ABA, and so forth) Created the objects related to the scope Exemplify the usage of such objects in a small application Demonstrate, benchmark and report if and how WorldObjects can reduce substantially the complexity of code, speed up development and detect errors in compile time rather than in runtime. DocDigitizer will: R&D team will provide relevant context about WorldObjects and documentation Direct link with WorldObjects R&D team Support students in discussing goals, ideas and strategies Regular status and feedback meetings More details will be provided during the initial interview. #AI, #IDP, #WorldObjects #Semantic

Mobile Photo Data Extractor

About DocDigitizer DocDigitizer is an AI startup providing a Cognitive Data Extraction service, with (near) 100% accuracy, with human-in-the-loop, zero setup, zero warm-up and full pay-per-use. We are exploring new uses cases and ways to deliver value to people and organizations. Project Scope Positions available: 1-2 teams of 2 students. Facilitate people to inform about mail delivered to the wrong postal address or inform about no longer resident at your place. In North America alone it is estimated than more 100 thousand tons of CO2 are linked to "undelivered mail". Also contribute to everyone's happiness by not have to handle dozens of letters in your mail box meant to others than you. Build a mobile both iOS and Android that: 1) Takes a photo of a (paper) letter envelope that you receive in the mailbox 2) Connects to DocDigitizer service to run the extraction service and identify 3) Received and displays messages in the App about the status of the "undelivered mail" 4) Publish the App Students will be responsible for: Building the UX/UI of the App Developing the app and connecting to DocDigitizer Documenting the code Record short videos demos More details will be provided during the initial interview. #AI, #IDP, #MachineLearning

DocDigitizer .Net NuGet

About DocDigitizer DocDigitizer is an AI startup providing a Cognitive Data Extraction service, with (near) 100% accuracy, with human-in-the-loop, zero setup, zero warm-up and full pay-per-use. We are exploring new uses cases and ways to deliver value to people and organizations. Project Scope Positions available: 1 teams of 1 student. DocDigitizer is a SaaS Cognitive Data Platform. We build a service that is as simple as "you send a document, you get data extracted AND validated with human-in-the-loop" Our goal is now to make very simple to any developer to integrate our calls into his/her applications In detail: Student will be responsible for: Build a NuGet that wraps the call to DocDigitizer Allow to easy (but securely) configure the connect string Test and Document the code Publish the NuGet Make a short 101 guide video for developersBuilding the UX/UI of the App More details will be provided during the initial interview. #AI, #IDP, #MachineLearning