Ohio University
Ohio University
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Neha Neha
Learner
(1)
3
Portals
  • NAIT
    NAIT
    Edmonton, Alberta, Canada

Skills

Additive manufacturing (3d printing) 1 Algorithms 1 Artificial intelligence 1 Cost reduction 1 Design specifications 1 Process optimization 1 Quality control 1 Quality improvement 1 Workflow management 1

Achievements

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Work-Integrated Learner
Issued by Riipen
The Work-Integrated Learner achievement is awarded to learners who applied their skills to a real-world problem by completing a project for an external partner. These learners provided real benefit to businesses while developing experience.
Completed on April 23, 2025
Community Builder
Issued by Riipen
The Community Builder achievement is awarded to learners who provided feedback to project partners at the conclusion of their project, helping to create a better experiential learning ecosystem for all participants.
Completed on April 23, 2025
Project Participant
Issued by Riipen
The Project Participant achievement is awarded to learners who start their first project, demonstrating their commitment to putting learned skills to practice.
Completed on February 1, 2025

Latest feedback

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Bakang Tau
He / Him
Founder
April 23, 2025
Team feedback
Excellent students, near perfect execution, often forgot they were still students. One's for the future for sure.
Additive manufacturing (3d printing) Design specifications Quality control Process optimization Algorithms Cost reduction Artificial intelligence Quality improvement Workflow management
NAIT
2025 Agile Project Mgmnt - WINTER
NAIT
GigEfx Labs
SmartPrint AI Workflow Optimization
GigEfx Labs

Recent projects

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GigEfx Labs
GigEfx Labs
Kanye, Southern District, Botswana

SmartPrint AI Workflow Optimization

The project aims to develop a prototype for SmartPrint AI, an AI-driven workflow solution that enhances on-demand additive manufacturing. The problem addressed is the inefficiency and high costs associated with traditional 3D printing processes. By integrating artificial intelligence, the platform seeks to optimize production workflows, reduce material waste, and improve quality control measures. The goal is to create a seamless interface that allows users to input design specifications and receive optimized printing instructions. This project will enable learners to apply their knowledge of AI algorithms, 3D printing technology, and process optimization. The focus will be on developing a user-friendly prototype that demonstrates the potential of AI in revolutionizing additive manufacturing processes.

Matches 1
Category Artificial intelligence + 4
Closed