💡 Inspiration
Many aspiring investors feel overwhelmed by the volatility and complexity of financial markets. Access to reliable insights, personalized advice, and real-time information is often limited to professionals or comes at a high cost. We created FinancIA to democratize intelligent investing by combining AI-driven analysis, deep research, and market updates through a conversational interface.
⚙️ What it does
FinancIA is an AI-powered investment assistant that allows users to:
- Get real-time financial news and market summaries
- Ask natural language questions about the performance of stocks or cryptocurrencies
- Receive deep research-based recommendations on which assets to invest in, based on their risk profile and preferences
- Save assets to a watchlist and receive smart alerts
- Explore curated investment ideas through Perplexity’s Sonar Deep Research API
🛠️ How we built it
- Frontend: Built with React, styled for a clean, accessible UX, deployed on Vercel
- Backend: Developed using Node.js and Express, hosted on AWS (Lambda & API Gateway)
- AI Integration:
- Sonar-pro for real-time, fast insights and contextual Q&A
- Sonar-deep-research for investment recommendations and long-form reports on market sectors and company trends
- Secure communication is handled via HTTPS and secrets are stored using AWS Secrets Manager.
🚧 Challenges we ran into
- Managing prompt length and context retention when calling both sonar-pro and sonar-deep-research APIs in tandem
- Balancing conversational UX with displaying rich financial data
- Parsing and ranking large volumes of Sonar output to present it clearly and meaningfully
- Implementing fallback handling when APIs timeout or return ambiguous results
🏆 Accomplishments that we're proud of
- Successfully integrated two advanced Perplexity APIs into a seamless user flow
- Built and deployed a fully working MVP with real-time interaction and personalized investment insights
- Designed a conversational assistant that’s not only functional but educational for users new to investing
- Made investment research more approachable and accessible
📚 What we learned
- The importance of context-aware API management when combining fast-response (sonar-pro) and deep-response (sonar-deep-research) models
- How to shape prompts to extract concise vs detailed information from the same knowledge base
- That users value simplicity and relevance over dense financial jargon
- How to use AI not just for content delivery, but as a tool for user empowerment
🚀 What's next for FinancIA – Your Intelligent Investment Assistant
- Integrate sentiment analysis from social platforms like X (Twitter) or Reddit
- Add personal finance tracking tools and portfolio performance visualization
- Expand language support for Spanish and other languages users
- Offer voice interaction and WhatsApp integration for wider accessibility
- Launch a beta program with real users to refine recommendations based on feedback
Built With
- amazon-web-services
- fastapi
- python
- react
- sonar
- vite
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