Tech Stack
With this technological stack, universities can be certain that:
Scalability:
PostgreSQL and Django can handle thousands of staff profiles regardless of the size of the department or institution.
Security:
Sensitive information has to be protected. Ethical dummy data that is GDPR compliant together with role-based access helps ensure that.
Cost Efficiency:
Pre-trained AI helps reduce computational overhead costs. The Open-source platform Hugging Face eliminates the need to pay additional licensing fees.
Future Proofing Technology:
DeepSeek R1 is one of the latest state-of-the-art LLM that is used via HugggingFace. As AI evolves, due to the utilisation of hugging face API, every time a new DeepSeek or Llama model is released, you can easily integrate them via Hugging Face’s ecosystem."
Ethical & Academic Alignment
No Black Box AI: DeepSeek is capable of more than just transparent NLP, administrators can also audit the decisions made by the AI, for example, “Why was Professor. Smith recommended?”.
Accessibility First: WCAG 2.1 standards compliance is observed through the use of Web Speech API and semantic HTML.
Built for Academia: Educational institutions greatly benefit from the AI tools that help improve workflows.
System Architecture