Update README.md

Update readme

Add links to blog, video, social post, and HF spaces to README

Update README link to build-small-hackathon org

Add MIT license

Clean repo, update README, improve .gitignore for hackathon

Fix AI insight leaking thinking content + make insights on-demand instead of auto-generated

Fix: detect and strip Nemotron reasoning narration (model talking to itself) from AI output

Fix AI output: aggressively strip thinking tags, markdown, field prefixes from all LLM responses

Fix CSS: serve self-contained HTML via ASGI wrapper to bypass Gradio

Fix: use sdk docker for Python 3.11 compatibility, relax gradio version

UX overhaul + Gradio migration + remove llama.cpp

fix: show CLOUD GPU status instead of offline, strip orphan </think> tags, increase Modal timeout to 180s

cache bust to force clean HF rebuild

Remove llama-cpp-python and lighten Dockerfile; Modal handles inference

Add Modal GPU inference support for faster LLM responses

fix: restore llama.cpp with source build, use fine-tuned GGUF model

fix: switch to microsoft/Phi-3-mini-4k-instruct (Gemma 2B down, LoRA not on serverless API)

feat: add HF Inference API with LoRA model, deterministic fallback

refactor: remove llama-cpp entirely, use deterministic mock-only mode

fix: force llama-cpp-python source build to fix musl/glibc mismatch on HF Spaces

fix: cache bust Docker layer to force libgomp1/libgfortran5 install

fix: install libgomp1 + libgfortran5 so the prebuilt llama-cpp wheel can load

fix: load LLM in background thread so Space stays healthy during 2.84 GB cold start

fix: eagerly load LLM at startup so /api/health surfaces the real error

fix: correct LLM model path default, fix chat 'error: format only' leak, surface load errors

feat: browser-local engine, Zerodha dashboard, historical events, chatbot, per-user isolation

fix: mentor returns real roast from numeric summary when LLM output is empty/malformed

fix: harden LLM calls, cast numpy to native floats, pin llama-cpp-python wheel

fix: accept percent value (0-100) for trades, add MOCK_LLM flag, full Playwright E2E

fix: resolve asset name mismatch, add E2E tests, 10-year game loop

fix: serve static files, switch to FastAPI, add CRT terminal styling

Space: prebuilt llama-cpp-python wheel, minimal Dockerfile

Use uvicorn for Space deployment; pin model filename

Point model download at fine-tuned GGUF repo

Fix Modal training: use SFTConfig to avoid pickling error

Add Unsloth Modal training pipeline for Nemotron 3 Nano 4B; dataset uploaded

Add model download, split requirements, prepare for Modal training

Phase 2/3: Gradio Server backend, CRT frontend, engine, agents, mentor, tests, CI/CD

Phase 1: project setup, MiniMax-M3 synthetic dataset generation, 1446-row clean dataset

Initial commit