Скачать или смотреть Spend FSS | Miniproject | Saveetha Engineering College

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

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