Spend FSS | Miniproject | Saveetha Engineering College

Description

Watch our Review 1 presentation for 'Spend FSS,' an innovative AI-powered, privacy-first expense tracker. We demonstrate a new architecture that solves the "Privacy vs. Functionality" dilemma in modern FinTech apps. ► ABOUT THE PROJECT: Traditional FinTech apps force users to upload their entire financial history to a central server, creating a security risk. 'Spend FSS' introduces a novel architecture that decouples the AI from the raw data. Using a Model Context Protocol (MCP) server, our system: 1. Generates realistic mock data (simulating the Account Aggregator framework). 2. Retrieves only the minimal, necessary data ("context") to answer a user's query. 3. Sends this context to a local LLM, ensuring the user's full dataset is never exposed and remains 100% private. This is a miniproject submitted for the Department of Computer Science and Engineering at Saveetha Engineering College, Thandalam (Affiliated to Anna University). Team: Infancia Felcy P (212223040067) Oswald Shilo (212223040139) ► TIMESTAMPS: (Add these after uploading to help viewers navigate) 0:00 - Introduction & Agenda 0:00 - Statement of the Problem (Privacy vs. Functionality) 0:00 - Proposed Methodology (MCP Architecture) 0:00 - Mock Data Generation Engine 0:00 - Secure AI Layer (LLM + MCP) 0:00 - Project Plan & Timeline 0:00 - Conclusion & Future Scope #miniproject #saveetha #cse #fintech #ai #llm #privacy #security #mcp #golang #python #computerscience