Real-Time Analysis and Verification of Financial Statements Using AI

Published: 31 January 2025| Version 2 | DOI: 10.17632/v838hff445.2
Contributor:
Puneet Arora

Description

This project focuses on protecting investors from misinformation by leveraging AI for real-time verification of financial statements made by influencers on social media. It utilizes FAISS for fast similarity search, FinBERT for financial text embeddings, and web scraping of authentic financial news/statements sources (e.g., Reuters, Bloomberg) to validate statements of Fin Influences. The system detects misleading or unverified claims by comparing influencer posts with trustworthy financial resources helping investors make informed decisions. Key features: āœ… Real-time scraping of financial news āœ… AI-powered text embeddings for verification āœ… FAISS-based similarity search for efficiency āœ… Sentiment analysis for detecting bias Many more things , This open-source implementation aims to enhance financial literacy and investor protection by mitigating the impact of misleading financial statements on social media. šŸš€

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Institutions

Punjabi University

Categories

Financial Analysis, Large Language Model

Licence