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Development of a Web Application with AI Integration

Open
PrüvIT Technologies Inc
PrüvIT Technologies Inc
Ottawa, Ontario, Canada
Corlena Patterson
Executive Director & CEO
(1)
3
Project
Academic experience
150 hours of work total
Learner
Anywhere
Intermediate level

Project scope

Categories
UI design UX design Website development Software development Artificial intelligence
Skills
digital transformation application programming interface (api) user interface (ui) web technologies user experience (ux) react.js (javascript library) dynamic ui angular (web framework) vue.js (javascript library) front end design
Details

The objective of this project is to develop a fully functional web application for FaceIT by transforming its Figma-based front-end design into an interactive and responsive user interface. The project will also involve integrating the existing FaceIT backend, ensuring seamless data flow between the front-end and back-end systems.

Students will gain hands-on experience in web development, API integration, and UI/UX implementation, contributing to an innovative AI-driven livestock identification technology.

Tasks and Activities:

  • Front-End Development:
  • Convert the Figma design into a fully responsive and user-friendly web application using modern web technologies (React, Vue, or similar).
  • Implement dynamic UI components, dashboards, and data visualization for intuitive user interaction.
  • Backend Integration:
  • Connect the FaceIT backend (already functional) via APIs to enable real-time data exchange and authentication.
  • Ensure secure user authentication, image processing requests, and data retrieval from the backend.
  • Testing & Optimization:
  • Conduct rigorous UI/UX testing to ensure the application is intuitive, accessible, and bug-free.
  • Optimize performance, responsiveness, and security for a smooth user experience.
  • Deployment & Documentation:
  • Deploy the web application in a test/staging environment for validation.
  • Provide technical documentation on the front-end architecture, API connections, and deployment process.


Deliverables

✔ Fully developed web application based on the provided Figma design

✔ Integrated backend connection enabling real-time data processing and authentication

✔ Bug-free, optimized, and responsive UI/UX

✔ Deployment-ready source code with documentation

✔ Final technical report summarizing development progress, challenges, and future recommendations

This project is ideal for students with experience in web development, front-end frameworks (React, Vue, or Angular), API integration, and UI/UX design. Participants will work closely with PrüvIT Technologies' team to bring an AI-powered livestock identification platform to life, contributing to the future of agri-tech and digital transformation in livestock management.

Mentorship
Domain expertise and knowledge

Providing specialized, in-depth knowledge and general industry insights for a comprehensive understanding.

Skills, knowledge and expertise

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

Hands-on support

Direct involvement in project tasks, offering guidance, and demonstrating techniques.

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.

About the organization

Organization
https://www.pruvit.io/
Ottawa, Ontario, Canada
2 - 10 employees
Agriculture, It & computing, Technology

PrüvIT Technologies Inc. is an agri-tech innovator specializing in AI-driven livestock monitoring and blockchain-based traceability solutions. Our technologies, including FaceIT (biometric livestock identification) and AgroLedger (secure blockchain traceability), are designed to enhance animal health, welfare, and supply chain transparency.

We collaborate with industry leaders, researchers, and government partners to develop cutting-edge solutions that improve disease risk management, genetic selection, and sustainability in global livestock production. As a forward-thinking technology company, we provide hands-on learning opportunities for students in AI, machine learning, data science, and agricultural innovation to help shape the future of precision livestock management.