4 LLM Project Ideas for Your Resume
Generative AI is changing fast, and recruiters want people who can make these large models do useful things, not just explain how they work. If you’re a student stuck in the experience paradox, needing a job to get experience, but experience to get a job, building projects is the best way forward. In this article, I’ll share four LLM project ideas you can add to your resume.
LLM Project Ideas for Your Resume
Here are four LLM project ideas that can make your resume stand out.
AI Resume Screener
Think of this project as building a recruiter who works around the clock and reviews every resume carefully. You’ll convert unstructured data like PDF resumes into a structured format such as JSON, so a computer can analyse them.
Real-world data is often messy and not in neat CSV files. By building this project, you show you understand prompt engineering for structure and retrieval-augmented generation. You’re not just talking to a bot, you’re creating a system that pulls out details like “Years of Experience,” “Skills,” and “Education.”
Llama 3 is a good choice for this project. It’s strong at logical extraction tasks and is free to use. You can find a guided example of this project here.
Real-Time Voice AI Assistant
Text-to-text is useful, but voice-to-voice is even more advanced. In this project, you’ll build an assistant that listens to your speech, transcribes it, processes it with an LLM, and responds to you in real time.
The main challenge here is latency. This project will teach you about asynchronous programming and optimisation. You’ll need to reduce delays in transcription and response to make the conversation feel natural instead of robotic.
You’ll also learn how to connect different types of data, from audio to text to LLM and back to audio. You can find a guided example of this project here.
Personal AI Data Analyst
Normally, data analysis means writing pandas code, fixing errors, and making charts. But what if you could just upload a CSV and ask, “Show me the sales trend for last December compared to this year?”
For this project, you’ll build an LLM wrapper that writes and runs Python code on a dataset to answer questions accurately.
This project takes you beyond basic text generation and into reasoning and tool use. You can find a guided example of this project here.
Visual Question Answering App
Text is just one way we understand information. A VQA app lets users upload an image, like a broken engine part, a complex graph, or a photo of their fridge, and ask questions about it.
Combining different types of data, like images and text, is the next big step. Adding vision lets you create tools for healthcare, insurance, and education, such as analysing X-rays or checking car damage.
This project shows you can handle complex, multimodal data and understand how models process images. You can find a guided example of this project here.
Summary
To sum up, here are four LLM project ideas to add to your resume: