The goal of this project is to develop a real-estate match making system using deep learning. This will involve several different steps for the students, including:

- Analyzing existing data sets of real-estate listings and customer preferences.

- Developing a deep learning model to match customers with listings.

- Optimizing model performance and assessing areas for improvement.

- Researching other variables that can improve the accuracy of the model.

- Accounting for additional variables in the model.

- Testing the model and making improvements based on additional data.

By the end of the project, students should demonstrate:

- Understanding of existing data sets of real-estate listings and customer preferences.

- Understanding of variables that affect the accuracy of the model.

- Identification of areas for future improvement of the model.

Bonus steps would include:

- Testing the model with users and accounting for additional parameters.

Final deliverables should include

- All source code.

- A written report explaining the design process and outcomes.

Regular weekly meetings and dedicated support from our Senior Data Scientists are integral components of our comprehensive approach to fostering growth, collaboration, and knowledge-sharing within our team. These routine gatherings provide a structured forum for team members to convene, exchange ideas, and receive guidance and mentorship from our experienced Senior Data Scientists.

During these meetings, team members have the opportunity to discuss ongoing projects, share insights, address challenges, and propose innovative solutions. The Senior Data Scientists, with their wealth of experience and expertise, play a pivotal role in these sessions by offering valuable feedback, providing guidance on complex data-related issues, and assisting in the development of best practices.

Furthermore, these weekly interactions serve as a platform to reinforce our commitment to continuous learning and professional development. By promoting open communication and the exchange of knowledge, we aim to empower our team members to excel in their roles and make meaningful contributions to our organization's data-driven initiatives.

In summary, our weekly meetings and the support provided by our Senior Data Scientists are not only mechanisms for enhancing collaboration and knowledge transfer but also key drivers of our team's success in delivering high-quality data solutions and achieving our strategic objectives.