ChatGPT Layered Chatbot - Sprint 2

Closed
ImmiCan
Toronto, Ontario, Canada
Saad Khan
CEO & Founder
(56)
5
Project
Academic experience
120 hours per learner
Learner
Anywhere
Advanced level

Project scope

Categories
Data analysis Data modelling Software development Machine learning Artificial intelligence
Skills
chatbot artificial intelligence chatgpt machine learning generative artificial intelligence research
Details

Setup infrastructure for AI chatbot and documentation


We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques.


Students will develop an AI / ML model related to any of the aforementioned applications. (Feel free to use gpt builder - I have paid version)


This will involve several different steps for the students, including:


Conducting background research on our existing products and the dataset.

Analyzing our current dataset.

Researching the latest AI / ML techniques and how they could be applied to our data.

Work with existing teams to help Developing an AI / ML model that provides unique outcomes or insights into our data.

  • Providing multiple solutions that can be applied to solve the same problem keeping data resources in mind
Deliverables

By the end of the project, students should demonstrate:

  • Understanding of the available dataset
  • Understanding of the latest AI / ML techniques
  • Identification of ways in which AI / ML can be applied to our company

Bonus steps would include:

  • Providing multiple versions of potential models

Final deliverables should include

  • A final report on the dataset, the problem solved, methodologies and approaches, outcomes and results, and recommended next steps.
  • Source materials such as code and workbooks.
Mentorship

Students will connect directly with us for mentorship throughout the project. We will be able to provide answers to questions such as:

  • Our current products and applications of AI / ML
  • The current data set and guidance in navigating it
  • Current industry standard approaches to AI / ML
  • Input on choices, problems or anything else the students might encounter.
Supported causes
Decent work and economic growth

About the company

Company
Toronto, Ontario, Canada
2 - 10 employees
Technology, It & computing, Defense & security, Science

Executive Summary of ImmiCan

Overview:
ImmiCan, under the leadership of Saad Khan, founder and CEO, is an innovative startup at the seed stage, focused on facilitating the economic integration of immigrants.

Mission:
ImmiCan is dedicated to accelerating the settlement process for immigrants, providing a streamlined platform where they can receive guidance and access essential services.

Product and Service:
Our product is a AI assistant designed for immigrants to overview a roadmap and connect with businesses. This assistant guides them through the process of settling in a new environment, connecting them with various services offered by businesses on our platform.

Target Market:
ImmiCan targets global immigrants seeking assistance with economic integration and business owners looking to offer their services to this demographic.

Unique Value Proposition:
ImmiCan stands out with its dual-component platform: an AI assistant tailored for immigrants and a comprehensive front-end suite for business owners. This combination addresses the needs of both immigrants and service providers in a single, integrated ecosystem.

Technology:
The technological backbone of ImmiCan includes Front End development in Reach, Back End in Flask, a Postgresql database, and servers currently hosted on AWS/Azure. We are considering a shift to dedicated servers for enhanced performance.

Team:
The core team comprises CEO Saad Khan, Head of IT Yasir Mohammed with over 20 years of IT business experience in Italy,