1)Integrating Sustainable Investment Data:
One of the biggest hurdles we encountered was sourcing and integrating real-time data on sustainable investments and green projects into the EcoFortune platform.
Solution: We researched multiple APIs that provide data on eco-conscious financial tools and built custom integration scripts to fetch and display the information. This involved parsing different data formats and ensuring they matched our platform's needs.

2. UI/UX Optimization for Eco-Conscious Themes:

The eco-conscious theme of EcoFortune presented challenges in balancing user experience with green investment features. The initial design felt cluttered and didn’t fully capture the clean, nature-based concept we envisioned.
Solution: We refined the UI by incorporating natural, earthy tones and minimalist design principles to enhance the user experience, making it both functional and aesthetically aligned with the sustainability theme.
3)Integrating Plotch.ai for Investment Insights:

Integrating Plotch.ai for personalized investment insights based on user data was challenging, particularly with fine-tuning the model for our specific use case.
Solution: With help from Ayuh Mital sir, we refined the model by making necessary adjustments, improving its accuracy and relevance. We also iterated on data preprocessing to ensure that the model’s predictions aligned with sustainable investment options.

4)Integrating Avalanche and Wolfram:
We faced significant difficulties while trying to integrate Avalanche and Wolfram into the project. Both tools caused errors during the integration process, particularly related to compatibility and API limitations.
Solution: After troubleshooting and debugging, we streamlined the integration by breaking down the process into smaller, more manageable steps. We also consulted documentation and online communities for workarounds t