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AI Image Processing Workflow Development

Open Opened on August 26, 2025
Main contact
ND Research
ND Research
Toronto, Ontario, Canada
Mark Nguyen
Mark Nguyen
He
Founding Partner
(2)
3
Portals
(1)
View all
Project
120 hours per learner
Learner
Anywhere
Intermediate level

Project scope

Categories
Artificial intelligence Data science Machine learning Software development
Skills
data processing json research software development adaptability workflow management artificial intelligence
Details

The project aims to develop a streamlined AI-based image processing workflow for ND Research.


The primary goal is to enable users to upload a collection of images to Google Drive, where each image will be automatically categorized and processed. The processing will generate 3 to 5 concise text outputs per image, each ranging from 1 to 10 words. These outputs will be stored in both CSV and JSON formats for further analysis. The workflow should be designed for easy updates, allowing for seamless integration of new models and prompt adjustments. This project provides an opportunity for learners to apply their knowledge of AI, data processing, and software development in a practical setting.

Deliverables

The deliverables for this project include a fully functional AI image processing workflow that meets the specified requirements. The workflow should be capable of categorizing images and generating text outputs, with results stored in CSV and JSON formats. Additionally, documentation should be provided to ensure ease of use and future modifications. The final deliverable will be a demonstration of the workflow's capabilities, showcasing its efficiency and adaptability.

Mentorship
Domain expertise and knowledge

Providing specialized knowledge in the project subject area, with industry context.

Skills, knowledge and expertise

Sharing knowledge in specific technical skills, techniques, methodologies required for the project.

Tools and/or resources

Providing access to necessary tools, software, and resources required for project completion.

Regular meetings

Scheduled check-ins to discuss progress, address challenges, and provide feedback.

Supported causes

The global challenges this project addresses, aligning with the United Nations Sustainable Development Goals (SDGs). Learn more about all 17 SDGs here.

Good health and well-being

About the company

Company
https://www.nguyendigital.co
Toronto, Ontario, Canada
2 - 10 employees
Business & management, Marketing & advertising, Technology
Representation
Employee-Owned Minority-Owned Women-Owned

Consumer and market research practice for early-stage U.S. VC backed technology firms that have raised a total of $2B USD, establishing research practices reaching more than 750k users.

NDR conducts evaluative research (via Usability tests, surveys, 1-1 Interviews) and deploys novel / and proprietary transdisciplinary methodologies to achieve a clearer view of consumers. Our diverse team has years of experience in user research, product development, applied statistics, anthropology, and data engineering, allowing us to establish complete and resilient truths on users, consumers, and the market system dynamics that facilitate their behaviours.

Previous Clients:
- York University AMPD dept - Public University
- Crowdlinker - Digital Product Studio
- Herewith (Formerly Quoori) - Eldercare Marketplace
- Brain.fm - Health and Wellness App
- Onuu Banking - Retail Banking Application
- Rammka.Ru - Ecommerce Art
- Inflection.Ai - Consumer AI
- Maslo.ai - Consumer AI