I Tried Building My Own AI Project — Here’s Why It Failed. скачать в хорошем качестве

I Tried Building My Own AI Project — Here’s Why It Failed.

I tried building my own AI application. On paper, it sounded simple. Collect some data. Train a model. Deploy it. Done. But reality had other plans. In this video, I walk through my first NLP project — a tool called ClearSpeak, built to convert complex English into simple Indian English. I explain the full process: data collection, model development, deployment… and where everything quietly fell apart. This project didn’t fail because the idea was bad. It failed because I ran into the real bottlenecks of AI: Data scale Data quality and quantity Infrastructure and resources The gap between theory and reality You’ll see what actually happens behind AI projects — beyond tutorials and hype — and what I learned after stepping into the real AI world for the first time. If you're learning AI, NLP, or trying to build your own AI tools, this video might save you months of confusion. This isn’t motivation. This is a reality check. 🔍 Topics Covered NLP project, AI application, rule-based models, data collection, model training, deployment challenges, AI reality check, student AI project, ClearSpeak