About this project
Most "AI financial advisors" are a chatbot bolted onto a bank app: you ask a question, an LLM answers from whatever context it's given, and the moment you close the tab, it stops thinking about you. We Win is built to be structurally different — a system that watches, calculates, and acts on a user's behalf continuously, while the AI itself is never trusted to touch a single number. Deterministic core, not a chatbot guessing. Every score you see — the six-dimension Financial Health Score, the Safe-to-Spend limit, the Credit Trust Score — is computed by hard-coded, testable Python engines benchmarked against RBI, SEBI, and IT Act standards. The LLM layer (Google Gemini, orchestrated via LangChain and CrewAI) is architecturally forbidden from performing arithmetic; it only ever narrates numbers that have already been verified. This isn't a prompting choice — it's a hard boundary, which means the system cannot hallucinate a financial figure by construction, not by hoping the prompt holds. A crew of agents, not one model doing everything. Instead of a single LLM handling every task, We Win runs six narrowly-scoped agents — Aggregator, Context & Incident, Market Watch, Loan Matching, Explainer, and Execution — each with exactly one job and exactly the MCP tools needed to do it. None of them ever holds a database credential. Every read and every write is mediated through a purpose-built MCP tool, so a hallucinated or malformed request from an agent can never reach Supabase or Neo4j directly — a non-negotiable requirement when the data is financial. Genuinely proactive, not reactive. A static balance tells you what you have; it doesn't tell you what you can safely spend after tomorrow's EMI and next week's rent. We Win's Safe-to-Spend Guardian nets obligations against income in real time and alerts users before they overdraw — while a life event (a new baby, a job change) instantly re-weights only the affected part of their plan, without re-running the whole system. Not
BFSI & FinTech track
Build AI solutions for banking, payments, insurance, fraud detection, lending, and financial inclusion.