Entry-Level AI Integration want first year and second year student of Computer Engineering or AI/ML
Publicada el 2026-07-20
Descripción de la oferta
I’m planning a small-scale project that connects a large-language-model back end to a simple web interface so it can take user-supplied text and return a concise, well-structured summary. Core scope • Integrate an LLM (OpenAI, Hugging Face, or any comparable model you’re comfortable with) into a lightweight API layer. • Deploy that service on a mainstream cloud platform—AWS, Google Cloud, or Azure all work—using best practices for security keys and cost control. • Provide a minimal front-end or Postman collection that shows the summarization endpoint in action. Ideal profile I’d like to collaborate with students in their 1st or 2nd year of Computer Engineering or AI/ML who want real-world exposure to cloud pipelines and prompt engineering. A solid grasp of Python or Node.js, Git, and basic REST principles is enough; I’ll supply the repository skeleton and access tokens where needed. Deliverables 1. Clean, commented source code in a Git repo. 2. Deployment scripts or Terraform files that spin up the service end-to-end. 3. README with setup steps, model choice rationale, and a short report (≈500 words) benchmarking summary quality on at least three sample texts.
Skills
- Machine Learning
- REST APIs
- Python
- Node.js
- NLP
- Google Cloud
- Terraform
- Azure
- AWS
- Prompt Engineering
- Hugging Face
- Postman
- Git
- JavaScript
Fuente original: freelancer