On an everyday basis, it is hard for a prospective student to search for relevant information about what kind of courses or programs that a University of their choice offers. With the help of A.I , Sia navigates new prospective students through different programs and course information and guide them to choose the right career path. With the aid of natural language processing, Sia can extract and process everyday communication style and convert into valuable information on the backend. With our proprietary machine learning model, Sia is capable of providing a personalized and adaptive learning atmosphere, where it can analyze multiple academic documents and learn from its analysis.

Dealing with scanned transcripts, verifying & suggesting courses can be tricky as they are not automatically searchable, which is today’s outcome of slower application processing. With out-of-the-box, intricate Image Recognition algorithms, Sia can read, detect and extract course, program, credits, GPA-related metrics from any transcripts instantly, with just images uploaded from a student’s cell phone or university form. Besides the power of text recognition itself, the underlying technology can also be combined with different technologies such as Augmented Reality and Object Recognition which also makes it so multifaceted for any University adopting Sia.

There are tens of hundreds of systems/applications each university uses for different purposes - enrollment, course management, grading, finance center, etc - which means a lot of data for each student. On top of this, there are several documents released for each course for a specific program including learning material, syllabus, etc. So, for a student to refer to any of the content they have to navigate within each document countless number of times to get some basic info like grading principle for an English course and every program contains core courses while a few mandatory ones also include courses based on interest.

Sia has the unique ability to understand the relation between students, their courses and understand relevant syllabus / courses documents, along with key deadlines and event to interact with students instantly and guide them on the requirements for each course by directly integrating with the LMS.

With industry-leading Automated Transcript Recognition, proprietary algorithms and unified Machine Learning, Sia can match the transcript data to University’s offerings and recommend the best-applicable courses / programs for prospective students with an approximate graduation time-line. This algorithm is most effective to filter out Students at the pre-application or an RFI level itself, which yields in more qualified and University-oriented leads to the Admissions team.

Once Sia is the University site backend, it offers prospective students instant and structured information regarding various programs, with multi-level details for applying and contacting respective department.
Most University websites With just 10-12 conversions, students can find every piece of information they are trying to seek based on their interest. Based on the conversation between Sia and the student, the system can share real time analytics to measure the student’s interests through integrations with CRM/Campus Management systems. Sia is capable of maintaining information from all student conversations, and can instantly learn and recognize previous student’s intent the next time when a conversation is started. Sia can auto-populate interests and can automate the process of information enquiry and application to a specific program.

Human thinking is beyond imagination. Can a computer develop such ability to think and reason without human intervention? The answer is simulated human thought process in a computerized model, which is cognitive computing – a combination of cognitive science and computer science. Cognitive computing models provide a realistic roadmap to achieve artificial intelligence. Enabling a next-gen Personalized Learning experience by intelligently understanding distinct learning preferences, interests, aspirations, activity levels and/ or cultural background of the students, and much more..With focus on Student Experience and Support, Sia uniquely delivers the power of multiple cognitive computing platforms through one-unified framework, eliminating every platform-related technology limitations.

Sia, when on-boarded within the university, connects to every system within the university, learns about each student’s data across several platforms and simplifies the entire learning experience for the students.

Sia adapts to the changing interest levels of a student, tracks his performance against their own goals and tries to suggest courses not only as per their interest, but also considering facts such as their performance, involvement, career aspirations, and several other factors.

With Unified Machine Learning and Natural Language Processing, Sia can get information that may reside within several documents within the university, when the students needs it – all through a conversation (either voice or text). For example, students can ask things like – Sia, when is my next assignment due? – Through seamless integration with university systems, Sia knows who you are, what courses you have studied / studying, which is your next upcoming class, your assignment deadlines, professor details, and much more – ALL this data which currently resides across multiple systems. Instance query handling with built-in FAQ mapper, assisting students with instant response to their queries. Handle all support related conversations and ability to analyze the depth of the request, involve a superior support personnel to facilitate critical requests.