main project idea recommendations
Hey everyone,
I’m heading into my final year of my B.Tech in AI & Data Science and I need to lock in my main project. I want to build something genuinely interesting and cool, but it also needs to be academically rigorous enough that my college evaluators won't instantly reject it for being "too simple" or "not having enough scope."
I specifically need something that effectively bridges both Data Science (heavy data processing, analytics, pipeline building) and AI (ML models, LLMs, predictive systems).
For context on what I can handle, my current stack and background include:
- Solid experience building RAG-based applications (I recently built an LLM-powered legal assistant covering Indian laws with a focus on vector storage and hybrid search latency).
- Comfortable with Big Data ecosystems (Hadoop, Pig, R programming).
- My daily driver is Arch Linux (Zsh), so I’m totally fine with complex, terminal-heavy setups, intricate architectures, or algorithmic optimization.
I’m looking for project ideas that combine heavy data processing with a solid AI component. Ideally, something that solves a real-world problem or has a highly impressive architecture that looks great on a resume and is guaranteed to get approved by strict professors.
Does anyone have any specific domains, project ideas, or even recent IEEE papers I should look into? Any advice is hugely appreciated!