Lucas Kemper β First Year MScFin Student at HEC Lausanne, Switzerland π¨π
Inspired by my interests in quantitative finance π, AI π§ , and LLMs π¬, I am customizing a fork of Lobe Chat to develop an innovative AI-powered framework for advanced financial analysis. Initiated on October 20, 2024, this project integrates state-of-the-art AI tools with finance-specific features designed to streamline data-driven analysis in investment and accounting.
Note: The code remains private to maintain confidentiality as I refine and enhance this framework. π
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File Upload & Knowledge Base π
Personal knowledge repository enabling efficient file upload and search, tailored for financial datasets (upload functionality currently under optimization). -
Multi-Model Support π€
Integrated support for OpenAI and Anthropic models to provide versatile AI options. -
Advanced Infrastructure Optimizations β‘
- Vercel: Front-end deployment optimized for speed and cost efficiency; transitioning to AWS for enhanced performance and security (Status: In Progress) π
- Cloudflare: Added comprehensive security with DNS, CDN, and DDoS protection (Status: β Completed)
- MongoDB to AWS Migration: Migrated database from MongoDB to AWS PostgreSQL (using Prisma) for enhanced data management efficiency (Status: β Completed)
- Clerk Authentication: Implemented secure, multi-provider login through GitHub and Google (Status: β Completed)
- Model Complexity Constraints: Addressing limitations in context length for complex financial queries (currently experimenting with Hugging Face) π
- File Upload Bug: Finalizing network configurations for seamless file processing (Status: β Completed)
- API Cost Optimization: Focusing on cost-efficient API usage π°
- Data Quality: Enhancing data input accuracy, essential for quality financial analysis π (Status: β Completed)