Université de Hearst
Université de Hearst
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Neha Neha
Apprenant.e
(1)
3
Portails
  • NAIT
    NAIT
    Edmonton, Alberta, Canada

Compétences

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

Réalisations

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Work-Integrated Learner
Émis par 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.
avr 23, 2025
Community Builder
Émis par 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.
avr 23, 2025
Project Participant
Émis par Riipen
The Project Participant achievement is awarded to learners who start their first project, demonstrating their commitment to putting learned skills to practice.
févr 1, 2025

Dernières rétroactions

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

Projets récents

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GigEfx Laboratories
GigEfx Laboratories
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.

Jumelages 1
Catégorie Intelligence artificielle + 4
Fermé