Pria is an Augmented Intelligence (A/I) Mentor

A/I = Artificial Intelligence + Human Intelligence

Meet Pria! An AI-powered virtual mentor programmed to help students, faculty, and researchers with their digital education, research, and career goals.

Pria plugs into your current LMS and supplements traditional and online teaching with 24×7 support for course materials, coding, discovery, image creation, and research. She uses natural language processing to understand questions and machine learning / Large Language Models (LLM) to engage in conversations for discovery and refinement.

AI is amazing but it is not perfect. If Pria doesn’t have the answer, there is a network of expert human mentors to back her up.

Pria can also provide personalized instruction, assess student progress, and provide feedback as needed. She provides advice on a wide range of topics, including help with course content, coding advice, research assistance, career guidance, and personal development. She can also provide students with personalized recommendations and resources to help them reach their goals. Available at the click of a button, Pria is available to chat on every window of the LMS – or in a separate browser tab! Get the kind of specialized feedback an AI can offer in the same place you are studying and learning.

Meet Pria for free, or choose one of the following credit packages!

Free Trial: $0 >

7 Day Trial

Premium: $25 >

125 Credits

Pro: $50 >

300 Credits

* Most Pria requests can be answered with 1 credit …some take 2.

As an A/I-powered virtual teacher, Pria supports speech-to-text and text-to-speech conversations. This allows you to have a natural, vocal discussion with her – rather than typing. Pria will also remember you and allow you to seamlessly continue conversations with her. The more time you spend with her, the smarter she gets.

Powered by the Generative Intelligence Engine™

As Pria evolves, she learns patience and engagement. Under the hood, Pria is processing every request through the Generative Intelligence Engine (GIE) to emerge as a virtual mentor for education and research. By leveraging the intelligence of LLMs, the GIE provides a seamless integration between artificial intelligence and human.

This helps to actualize the idea of “augmented intelligence” =→ an iterative refinement of knowledge where both the human and AI participate.

As the AI engine develops to provide increasingly valuable information, human intelligence is propelled into a new world of innovation.

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The GIE comprises a number of LLMs with long-term memory, custom conversation agents, prompt engineering, and an embedded database of New Skills Tech hand-curated scientific knowledge. This allows for a seamless conversation; Pria can write you code, generate AI-images, search and summarize the scientific literature, and write you a zen kōan all in a single conversation!

Pria Generative AI Differentiators

New Skills Tech Generative AI Mentor (“Pria”) vs Other GPT AI Solutions

Pria Differentiators

Trusted Sources


With the capability to perform internet search, Pria can get real-time information for any question! She can even summarize webpages and compile keywords. Plus,

Pria can tap into the world’s largest library at Google Scholar. This is like having a personal search concierge at your beckon call anytime, anywhere. As Google gets smarter, so does Pria.

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For general queries, Pria leverages the latest version of OpenAI’s GPT technology. This includes the most recent GPT-4 API release, optimized for realistic conversations and relevant information. The world’s knowledge is at your fingertips.

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Vector-embedding storage with Pinecone allows Pria to have a real long-term memory, remembering your conversations and growing smarter with time. The more time you spend engaging with Pria, the better she will become at predicting and understanding your needs.

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With any scientific question, Pria can query the peer-reviewed literature and return relevant details from research along with appropriate citations. This allows you to tap into 35 million scientific papers without having to spend your entire life reading.  


With a focus on leveraging open-source technologies, Pria utilizes a custom implementation of StabilityAI’s Stable Diffusion Model to generate novel AI images. This capability will grow over time as we expand Pria’s features and integrate custom machine learning data sets.

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With help from Wolfram Alpha, Pria’s brain is a supercomputer. She can compute answers using Wolfram’s breakthrough technology & knowledgebases, relied on by millions of students & professionals.

Success Stories


Foundational Knowledge in AI Course

At the Governor’s School for Science and Math, Pria used LLM to help students learn the principles they needed to build their own LLMs. Meta, right?

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Coding Assistance in Medical Bioinformatics

At Clemson University, Pria assisted medical bioinformatics students conduct research and write code in pursuit of new discoveries in cancer genomics. See “Pria in Action” above.

Research Assistance in BioHackathons

In recent BioHackathons at the New Skills Tech Academy, Pria assisted students, faculty, and researchers test their hypotheses against scientific research.

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Prototype Digital Art for Game Design

Pria tapped into her creative side and helped students build colorful backgrounds, sprites, and graphical artifacts for video game design.

Pria in Action

Pria Screen Capture Bio Mobile

Genes are intervals of DNA scattered across chromosomes. One particularly important gene is BRCA2 – a DNA repair gene in normal cells – increases the risk for breast and ovarian cancer when it is disrupted:

Before you can find gene mutations, you must pinpoint the gene’s address in the genome. Finding the chromosome, start and stop positions for a given gene often requires writing code to parse out these data from huge files. The first step in writing this code, involves finding a specific gene identifier to search for in the coordinate file, and then extracting a gene position from a gene coordinate “GFF3” file.

What is the ENSEMBL ID for BRCA2?


45%–69% of women who inherit a harmful BRCA2 variant will develop breast cancer by 70–80 years of age … and 11%–17% of women who inherit a harmful BRCA2 variant will develop ovarian cancer by 70–80 years of age. (Source: National Cancer Institute)

The next step in our genetic discovery story is to write some parsing code in Python.

Write python code to extract ENSG00000139618 chromosome, start, and stop coordinates from a GFF3 file.

import sys

gff3_file = sys.argv[1]

with open(gff3_file) as gff3:

    for line in gff3:

        if line.startswith(“#”):


        fields = line.rstrip(“\r\n”).split(“\t”)

        if fields[2] == “gene”:

            attributes = fields[8].split(“;”)

            for attribute in attributes:

                if attribute.startswith(“ID=gene”):

                    gene_id = attribute.replace(“ID=gene:”, “”)

                    if gene_id == “ENSG00000139618”:

                        print(fields[0], fields[3], fields[4], sep=”\t”)

The final step in our BRCA2 adventure is to make a Python script and run it.

Write a Python script to return the chromosome, start, and stop coordinates for BRAC2.

python Homo_sapiens.GRCh38.109.gff3.2

13 32315086 32400268

As a final verification, I manually posted these coordinates in the UCSC Human Genome Browser, and it was the correct position for BRCA2!

Check it out:

Pria Example BRCA2 Gene Sequence

Now I have working Python code that will perform a complex bioinformatics task. This code can be adapted for any gene or other feature in the human genome. It’s coffee time!