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kamalchibrani-ai/FinAdvisor

FinSight — Streamlit + FastAPI app for India-focused equity portfolios and an agentic LangGraph assistant (OpenAI tools, Neon Postgres, optional Redis & Pinecone). Deploy-ready with Render.

Python MIT GitHub ↗ site ↗
★ 0
stars
60
AI relevance
65
solo dev
0
tool sigs

SUMMARY AI summary by gpt-5-mini

FinSight is a full‑stack app for retail investors (India-first symbols like RELIANCE.NS) providing portfolio tracking, market analytics and an agentic chat assistant. Intended for individual investors and developers who want a reference implementation of LLM agents applied to finance. Key components: Streamlit UI, FastAPI backend with streaming NDJSON, Neon Postgres for durable storage, optional Redis session cache, and Pinecone for semantic long‑term memory. It uses LangGraph for a tool-calling agent (OpenAI chat + embeddings), yfinance for prices/fundamentals, bcrypt auth, and versioned SQL migrations. Primary features: email/password auth, CRUD portfolio holdings, live marks and P&L, dashboard metrics and charts, multi-thread persistent chat with agent tools (prices, fundamentals, comparisons, returns math, optional news), and deployable via Render. Requirements include Python 3.12, OpenAI and Pinecone keys, and a Postgres instance.

DETECTED Detected AI stack

AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.

🧠 LLM providers (1)
OpenAI
🧩 AI frameworks (1)
LangGraph
🗄️ Vector DBs (1)
Pinecone
💾 Databases (2)
Redis Neon
🌐 Web frameworks (2)
Streamlit FastAPI

GitHub Topics

#agents #fastapi #langgraph #llm-agents #llm-tools #neondb #openai #pinecone #python #render-deployment #yfinance

Language breakdown (by bytes)

Python
100%

Owner

Account
kamalchibrani-ai
Type
User
Followers
1

Dates

Created on GitHub 2026-05-07
Last push 2026-05-09
First seen here 2026-05-09
Last fetched 2026-05-09 14:23

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