Inspiration
We wanted to create a data-driven tool that provides clear, interactive insights into investment trends to help stakeholders make informed decisions by displaying data, trends and correlations in a simple and easy to understand manner.
What it does
The dashboard visualizes investment trends, funding stages, investor demographics, and sectoral insights using interactive graphs and predictive modeling. It analyzes the investment data from multiple angles to ensure that the viewer has a comprehensive understanding of trends whether by region, industry, or time.
How we built it
We used Python and pandas for data processing, Plotly for visualizations, and are finalizing the frontend framework for seamless interaction.
Challenges we ran into
Deciding what data to be used to ensure that the results were accurate, yet not overcomplicated. As well as using clean and accurate data and filtering out any data points that are less accurate.
Accomplishments that we're proud of
Successfully structuring comprehensive investment insights into an intuitive and interactive dashboard.
What we learned
The importance of efficient data handling, user-friendly visualization design, and the complexities of predictive modeling.
What's next for CxC Datathon 2025
The main next steps that we would take would be to refine the predictive model for future use, and modify the application to work with real time data updates.
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