As part of Team Aequilibrix, we are excited to participate in the Vultr Hackathon 2024, where innovation meets the power of Vultr’s cloud platform. This hackathon challenges us to push the boundaries of technology by building scalable web applications, deploying advanced data storage systems, and crafting AI-powered solutions. Our project embodies this spirit, tackling real-world financial challenges with an AI-driven platform designed to offer personalized financial guidance and insights.
FinanzMeister aims to revolutionize the way individuals manage their finances by delivering a holistic AI-Driven Financial Health Management System. With personal finances becoming more complex, our platform leverages the latest in AI and machine learning to provide predictive analytics, behavioral insights, and tailored financial advice. Our goal is to empower users with the tools they need to optimize their financial health and make informed decisions.
In today's fast-evolving financial landscape, many individuals struggle with balancing short-term budgeting, long-term investments, and savings strategies. FinanzMeister offers a personalized approach to financial management by analyzing user behavior, predicting future trends, and providing actionable insights—all in real time. Our platform is designed to not only provide users with a snapshot of their current financial standing but also to guide them toward a more financially secure future.
- AI-Powered Financial Guidance: Personalized recommendations based on real-time data analysis.
- Predictive Analytics: Advanced machine learning models to forecast long-term financial health.
- Behavioral Insights: Understanding spending habits and offering strategies for improvement.
- Real-Time Updates: Dynamic adjustments to financial plans based on live data.
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Souharda Roy (Frontend & Security):
- Set up the frontend architecture using Next.js.
- Developed the user interface and dashboard for financial insights.
- Ensured secure transactions and authentication protocols.
- Handled performance testing and UI optimization.
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Abhijeet Raj (Data & AI):
- Conducted dataset search and preprocessing (cleaning, analysis, and visualization).
- Developed and trained the bias detection models for accurate financial recommendations.
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Ayush Kumar Jha (Database & Real-Time Sync):
- Engineered features and optimized the database architecture using Cassandra.
- Ensured real-time data updates and synchronization.
- Set up backup and recovery mechanisms to ensure data integrity.
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Shatansh Gupta (AI & Backend):
- Developed sentiment analysis models for analyzing market trends.
- Designed the database schema and ingestion pipelines.
- Integrated AI models with the frontend to provide real-time insights.
- Managed scalability and performance using Vultr’s cloud infrastructure.
- Frontend: Next.js, HTML5, CSS3, JavaScript
- Backend: Node.js, Express.js
- Database: Cassandra, MySQL
- AI/ML: Python, TensorFlow, Keras, Scikit-learn for financial predictions and behavioral analysis
- Cloud Infrastructure: Vultr for deployment, load balancing, and scaling
- Security: AES-256 encryption, JWT for secure authentication, Regular audits for vulnerability scanning
- APIs: Financial Data APIs (Plaid, Alpha Vantage), OAuth 2.0 for authentication, Payment gateways
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Round 1: Idea Submission (Elimination Based)
- Submission Starts: Aug 30, 2024, 12:00 pm IST
- Submission Ends: Oct 05, 2024, 11:59 pm IST
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Round 2: Project Building (Elimination Based)
- Submission Starts: Oct 16, 2024, 12:00 pm IST
- Submission Ends: Oct 26, 2024, 09:00 pm IST
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Round 3: Grand Finale (Online)
- Date: Nov 19, 2024, 09:00 pm IST
FinanzMeister aligns with the FinTech and Financial Inclusion theme of the Vultr Hackathon. Our goal is to offer accessible and advanced financial insights to help users achieve financial wellness regardless of their background. By utilizing Vultr’s cloud platform, we ensure the scalability, security, and reliability necessary for a global audience.
- Clone the repository:
git clone https://github.com/cordiality-crypto/FinanzMeister cd FinanzMeister - Install dependencies:
npm install
- Set up environment variables:
- Configure your Cassandra and MySQL databases
- Add API keys for financial data and payment gateways
- Run Developement Server
npm run dev
The FinanzMeister platform delivers a seamless user experience with an intuitive frontend built using Next.js. Users can easily input their financial data, track their financial health, and receive AI-driven insights in real time.
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Frontend: The interactive user interface allows users to input key financial data, including income, expenses, and savings goals. Users can also view personalized financial recommendations, visualizations of their spending habits, and long-term predictions for their financial stability.
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Backend: Powered by Node.js and Express.js, the backend manages all user requests, processes financial data, and integrates with our AI models to generate personalized insights. We utilize Vultr’s cloud infrastructure to ensure high availability and scalability, handling a large volume of user data efficiently.
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AI & Predictions: With TensorFlow and Keras, the AI models analyze user behavior and financial data to provide actionable insights. The system adapts to real-time changes, adjusting predictions and recommendations dynamically as users update their data.
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Data Synchronization: Leveraging Cassandra for its highly scalable and fault-tolerant database structure, we ensure real-time synchronization of financial data, providing users with up-to-date insights and a seamless experience across devices.
We are always open to contributions! If you're interested in enhancing FinanzMeister or have any suggestions for improvement, feel free to contribute by raising an issue or submitting a pull request on our GitHub repository.
Together, we can continue to refine and build upon this AI-driven financial platform to help users better manage their financial health.