FundVision – Smart Financial Health Dashboard

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  HomePage

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  Investor data

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  Fund Recommendations

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  Mutual Fund details including NAV history, returns, risk level and sector allocation

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  Shows Historial returns from fund inception to last month

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  Funds Comparision in the Category based on Returns and Volatality

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  Mutual Funds Investment Calculator with built in calculate feature

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  Description of our website

Inspiration

1. Identified the lack of intelligent tools for fund performance tracking and sustainability analysis.
2. Recognized the rising importance of ESG factors and circular economy metrics in investment decisions.
3. Wanted to bridge AI/ML with real-world financial and environmental data.
4. Aspired to build a unified dashboard combining analytics, prediction, and visual insights.
5. Motivated by the potential of creating impact-driven solutions in the clean-tech and fintech domains.

What it does

1. Tracks and visualizes fund performance through an interactive, real-time dashboard.
2. Predicts future trends using machine learning models trained on historical data.
3. Integrates degradation metrics for sustainability-linked funds.
4. Provides circular economy insights for cleaner investment strategies.
5. Offers a seamless experience using a scalable backend, smart UI, and API-driven interactions.

How we built it

1. Developed backend services using Spring Boot and structured RESTful APIs.
2. Designed the frontend using React.js with responsive components and data charts.
3. Trained ML models in Python using Scikit-learn for fund prediction tasks.
4. Connected the ML layer to the backend through REST APIs for prediction integration.
5. Used MySQL for structured data storage and GitHub for collaboration and version control.

Challenges we ran into

1. Data cleaning and normalization across inconsistent datasets took significant time.
2. Integrating Python ML code with the Java backend required cross-language coordination.
3. Creating a performant and user-friendly dashboard with real-time data was technically demanding.
4. Ensuring consistent API communication between backend and frontend during frequent updates.
5. Managing time efficiently alongside academic schedules and team coordination.

Accomplishments that we're proud of

1. Built a complete, end-to-end platform from scratch with real functionality.
2. Successfully integrated ML models into a production-ready backend.
3. Developed a responsive and visually appealing dashboard for users.
4. Maintained clean, modular code across backend, frontend, and ML modules.
5. Aligned the platform with real-world sustainability goals and intelligent fund tracking.

What we learned

1. Full-stack development using Spring Boot, React, and REST APIs.
2. Building, training, and integrating ML models using Python and Scikit-learn.
3. Designing scalable, secure, and modular software architectures.
4. Handling real-world data preprocessing and performance tuning.
5. Effective team collaboration using Git, GitHub, and project planning tools.

What's next for FundVision – Smart Financial Health Dashboard

1. Add user authentication, roles, and session-based access control.
2. Integrate real-time financial APIs and expand ML model complexity.
3. Deploy the entire platform on a cloud service like AWS or GCP.
4. Introduce notification features and data export capabilities.
5. Conduct user testing and refine the UI/UX for better usability.

Built With

• ai
• chart.js
• docker
• git
• github
• java
• javascript
• machine-learning
• mysql
• postman
• python
• react
• springboot
• tailwind
• tensorflow