Posted on

Team Status Report for Apr 12 2025

Team Status Report

Progress This Week

Our team made meaningful progress across hardware, cloud integration, and software components in preparation for the next stage of development.

  • Computer Vision & Cloud Integration: Steven worked on integrating the CV model and cloud components of the system. He successfully tested image upload and retrieval through the cloud pipeline and began preliminary integration of the YOLOv5 model for live inference. Training of the model is ongoing, and initial tests on the cloud system have been promising.

  • Hardware & Imaging: Jun Wei completed the construction and integration of the motorized camera slider with the updated camera hardware. The system has been mounted onto a smaller breadboard and tested within the mini fridge enclosure. He is now moving toward integrating the image stitching script with the Raspberry Pi system and preparing for cloud pipeline integration in collaboration with Steven.

  • Mobile Application & Recommendation System: Will implemented Google OAuth in the mobile app, enabling secure user sign-in and laying the groundwork for personalized features. He also started building the recipe recommendation system using LangChain, setting up the initial framework and exploring prompt designs to map fridge contents to relevant recipes.

Plans for Next Week

  • Finalize deployment of the YOLOv5 model for cloud inference and continue refining the cloud data pipeline (Steven).

  • Integrate image stitching into the Raspberry Pi workflow and begin transmission testing (Jun Wei).

  • Continue development of the recipe recommendation system and begin linking it with user preferences stored post-login (Will).

Overall, the team is on track with project milestones. Core components across hardware, CV, and app infrastructure are coming together, and collaboration between sub-teams is increasing as we begin cross-component integration.

Posted on

Jun Wei’s Status Report for Apr 12 2025

1. Personal accomplishments for the week

1.1 Motorized camera system integration

This week, I completed construction of the motorized camera slider and integration with the new camera obtained. I found a way to tether the movement of the timing belt to the camera baseplate using zip ties. I have also managed to move the system to a smaller breadboard and have tried placing it within the mini fridge that we will be using.

2. Progress status

I am on schedule as the motorized camera slider has been integrated with the camera system. I am now working on integrating the stitching algorithm script with the overall Raspberry Pi script.

3. Goals for the upcoming week

  • Integrate stitching algorithm
  • Integrate with cloud transmission pipeline (to work with Steven on this)
Posted on

William’s Status Report for Apr 12 2025

This week, I implemented Google OAuth integration into the mobile application, allowing users to sign in seamlessly and securely. This sets the foundation for saving personalized preferences tied to user accounts.

I also began working on the recipe recommendation system using LangChain. Initial efforts were focused on setting up the pipeline and experimenting with different prompt structures to connect user inputs with relevant recipe suggestions.

Plans for Next Week

  • Finish building out the recipe recommendation system and fine-tuning its performance.

  • Start linking user preferences to recipe suggestions post-login.

  • Explore potential improvements to the UI for the Preferences and Recipes tabs.

Progress this week has been steady, with key backend components starting to come together alongside the app frontend.

Posted on

Steven’s Status Report for Apr 12 2025

For this week, I worked on integrating the CV and cloud components of our system. I tested image upload and retrieval through the cloud data pipeline, as well as preliminary integration of the YOLOv5 model onto the cloud system for live inference testing.  I’ve also continued further training of our YOLOv5 model.

I am currently on track with our milestones. I am working on integrating our model with our cloud pipeline which will also be integrated with the Raspberry Pi.

For next week, I plan to finalize the deployment of the YOLOv5 model onto the cloud and run cloud inference on fridge images. Furthermore, I plan to continue refining the data upload pipeline and explore backup storage solutions in the case of a cloud failure.