Inspiration
Generic financial education fails learners, costing the average American an estimated $1,015 each year in poor decisions. The result is an equity crisis—Gen Z scores only 38% on financial-literacy assessments. We built InvestIQ to fix this using Generative AI: a dynamic, personalized mentor that turns low confidence into real financial capability.
What it does
InvestIQ is a full-stack, AI-powered platform delivering validated, commercially-ready financial mastery and compliance. Validated ML & i18n: Through a multi-language Beta Pilot Program (powered by active i18n), we validated the predictive accuracy of our Advanced ML model for personalized lesson sequencing using real user data. Regulatory Compliance & Audit: The platform includes a working Compliance Layer and has already completed Preliminary External Auditing in preparation for seed funding and future regulatory filing. Data Simplification: Advanced Visualization tools translate complex sentiment-analysis and predictive-model outputs into clear insights. Holistic Application: Includes Paper Trading, Behavioral Finance Coaching, and debt-management guidance—supporting the 47% of Americans carrying credit-card debt.
How we built it
We designed an enterprise-grade system for security, validation, and global scalability. Validation: Ran a full Pilot Program using the active i18n framework to test platform stability and predictive-model accuracy against live interactions. Compliance & Security: Built the Regulatory Compliance Layer and engaged in External Auditing to secure the codebase and prepare for market entry. AI/ML Core: Integrated Generative AI for content and Advanced ML for predictive sequencing, supported by visualization tools that render complex outputs simply. API & Integration: Integrated with brokerage APIs and developed an NLP sentiment-analysis model.
Challenges we ran into
Audit & Pilot Data: Preparing for External Auditing and securely managing multi-language pilot data for ML validation. Predictive Accuracy: Achieving high predictive accuracy required extensive real-world data and multiple retraining cycles. The Jargon Trap: Simplifying technical financial concepts while maintaining accuracy proved consistently challenging.
Accomplishments we’re proud of
Market Validation: Successfully launched a multi-language Beta Pilot Program, proving viability, stability, and global scalability. Investment Readiness: Achieved External Audit readiness and built Advanced Visualization to turn complex ML outputs into actionable insights.
What we learned
FinTech innovation must be validated and secure before launch. Through the Pilot Program and External Auditing, we proved that our GenAI-driven personalization is not only effective but stable and ready for regulatory scrutiny—demonstrating true market readiness.
What’s next for ohmyfunds.xyz
Seed Funding & Full Regulatory Filing: Leverage audit results and pilot data to raise seed capital and pursue formal regulatory approval for real-money transactions. Strategic Partnerships: Target global banks and financial institutions to deploy our compliance-ready, multi-language platform. Advanced Psychometrics: Expand behavioral-finance coaching with deeper psychometric testing to further personalize user pathways.
Built With
- alpha-vantage-api
- big-data
- cloudflare
- css4
- financial-modeling-prep-api
- gemini
- i18
- llms
- nextjs
- pnpm
- python
- react19
- reacthook
- recharts
- sec-edgar-api
- tailwind
- typescript
- vultr
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