Integrate AI-powered advanced input & analytics using LLMs (assignee: cyberboyayush)

[VrandaaGarg]

Integration of AI Using LLMs in OnlyFunds

This issue proposes integrating advanced AI functionalities using large language models (LLMs) and related technologies to enhance user experience and analytics in the OnlyFunds project. The scope includes two main areas:

1. Advanced Input Methods:

• OCR for Receipt/Bill Scanning: Implement Optical Character Recognition (OCR) to allow users to scan receipts or bills, automatically extracting details for expense entry.
• Screenshot Parsing for Digital/UPI Payments: Enable parsing of screenshots from digital payment platforms (e.g., UPI, wallets) to auto-capture transaction details and populate expenses seamlessly.

2. AI-Powered Analytics:

• Anomaly Detection: Integrate models to flag unusual or suspicious spending patterns, helping users spot potential errors or fraud.
• Predictive Analytics: Use AI to forecast upcoming expenses based on user history and trends.
• Category-wise Insights: Provide detailed, category-wise spending insights, including personalized recommendations to optimize budget.
• Financial Health Score: Generate a dynamic financial health score for users, along with actionable tips to improve their financial habits.

Goal:
Leverage LLMs and AI tools to streamline data entry, provide actionable insights, and help users manage their finances smarter within OnlyFunds.

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@CyberBoyAyush Please review and add your thoughts on the technical stack, preferred AI/LLM frameworks, and any constraints we should be aware of for seamless integration.