“Most RAG demos fall apart the moment you point them at real company documents, they confidently answer from noise, leak their prompts to anyone who asks nicely, and go dark when the API key rate-limits. This system was built for the version where that isn't acceptable. A LangGraph agent decides whether a question actually needs retrieval before touching the vector store, guardrails intercept jailbreaks and off-topic queries at the door, and every LLM call routes through a gateway that fails over automatically when the primary key dies. Ask it something technical and it plans, retrieves, reranks locally, then answers with its reasoning steps visible.”

“Most LLM clustering pipelines fall apart at the one question that actually matters: how do you know the clusters are right? They extract topics, group them, print a chart, and stop, so a confidently-labeled "Top Pain Points" report could just as easily be five arbitrary buckets as real structure. This system was built for the version where that isn't good enough. Every complaint is embedded and clustered with zero knowledge of its real category, then scored separately against CFPB's own published labels (Adjusted Rand Index, NMI, per-cluster purity) to prove whether the unsupervised structure it found actually matches reality. k isn't a guess either, it's chosen by sweeping cluster counts against that same ground truth and reading where the score plateaus. Point it at 1,000 real consumer complaints and it hands back a labelled dataset, four executive charts, and a number that earns the report's right to be trusted.”

“You start with a photo and an idea, and instead of juggling tools to get a short video, you just chat: upload, review, refine, generate. The system edits the image, cleans the prompt, converts and hosts media, runs the video model, and delivers a ready 16:9 video. Ideal for reels, shorts, and quick product or personal concepts without breaking creative flow.”

“Imagine needing quick, reliable insights from your data without writing code or worrying about errors. This project solves that problem by letting you upload a CSV file and instantly get clear analysis, visualizations, and answers to your questions. An intelligent digital analyst automates the entire workflow, so you can focus on decisions, not technical details.”