Our project combines AI phishing detection with blockchain logs, flagging suspicious emails/links while ensuring transparency, trust, and tamper-proof auditability.
Project Description
The project AI Financial Advisor via SMS & Microservices is designed to deliver a smart virtual assistant that interacts directly with users through SMS or popular messaging platforms. This system empowers users to manage their personal finances more effectively with key features such as real-time balance alerts, personalized investment recommendations, risk analysis, and data-driven decision support.
In addition, the project integrates a phishing detection module to protect users from fraudulent messages and leverages blockchain technology to store logs transparently and securely against tampering. The application is built on a microservices architecture, making it easy to scale and integrate with Sovico’s digital financial services.
The ultimate goal is to enhance access to safe, intelligent, and mobile-friendly financial advisory services, especially for underserved user groups.
Week 1: Finalize the idea, design microservices architecture, prepare the environment (Conda, Ganache, Streamlit). Week 2: Build the main module: SMS/Streamlit interface Chatbot, process basic financial data (stock, balance alert). Week 3: Develop phishing detection module (rule-based + ML option), test with simulated data. Week 4: Integrate blockchain to store transparent logs, connect services into a complete application. Week 5: Optimize UI/UX, write documentation, package source code, prepare demo and submit product on HackQuest.
I am currently learning and testing the AI Stock SMS project, developing my technical skills and understanding of the market. The goal is to build a solid foundation, ready for future cooperation or investment opportunities.