Information
Team members: Nathaniel Mitrani, Joel Sole, Jan Tarrats, Alex Serrano
Please, check out our GitHub repository at OptiFlowInnovators for all the information and details.
Inspiration:
Our inspiration stemmed from recognizing the pressing need for increased efficiency in healthcare logistics, motivating the inception of OptiFlow Innovators.
What it does:
The project focuses on optimizing the storage and distribution of medical products through a collaborative scheme and mathematical modeling.
How we built it:
Despite challenges faced during implementation, we successfully developed an impactful solution, integrating a collaborative approach and mathematical modeling.
Challenges we ran into:
Throughout the project, we encountered challenges, particularly during the implementation phase, which required innovative problem-solving.
Accomplishments that we're proud of:
Our noteworthy accomplishment lies in creating a more streamlined and sustainable healthcare logistics system.
What we learned:
The project taught us valuable lessons about the intricacies of supply chain optimization and the critical importance of considering environmental impact in healthcare logistics.
What's next for OptiFlow Innovators:
Looking ahead, our focus is on refining deep learning models for demand prediction and exploring advanced storage strategies to further enhance the effectiveness of our solution.
Built With
- numpy
- pandas
- pyomo
- python
- pytorch
- scikit-learn
- streamlit
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