6th sem AI/ML student here. Need honest advice because I genuinely don’t know if I’m going in the right direction anymore. Right now my profile looks decent from outside: built a multi-agent clinical reasoning project (med-signal.vercel.app) built a movie recommender system using embeddings/vector DB hackathon finalist at Meta x Scaler OpenEnv decent CGPA too (8.2 GPA) GitHub: github.com/alok943 But honestly, I feel there’s a gap between “having projects” and actually being skilled. Most of my projects were made with heavy LLM help. I can understand the flow, debug stuff, connect APIs, deploy things, improve outputs etc. But if someone tells me to sit alone and code a lot of things from scratch without AI help, I’ll struggle. And I don’t know how normal this is becoming now. After end sems, I want to stop randomly jumping between things and seriously fix my fundamentals. Current plan: DSA in Python daily finish Andrew Ng ML + DL courses learn ML properly instead of just using libraries go deeper into RAG/LLM engineering improve communication skills become less dependent on AI while coding Target is AI/ML internships at Indian startups. What I really want to know from people already in industry: does DSA matter that much for AI/ML internships in India? are projects like these actually valuable or do recruiters see through them instantly now? am I spending too much time on courses? what skills do startups actually expect from freshers now? if you were in my place, what would you focus on for the next 6-8 months? Would appreciate honest answers more than motivation 🙏 submitted by /u/Curious-Green3301
Originally posted by u/Curious-Green3301 on r/ArtificialInteligence