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Rohit’s Status Report – 3/15/2025

This week I made progress on the backend integration of our database models. I completed the implementation of the endpoints that will receive image and location data from the hardware components. I’ve tested these endpoints using mock data to simulate the incoming information from the Blues Notecard and verified that they correctly sore the data in our database models.

Since Will was able to resolve the connection issues, I worked on implementing a queuing system that can process incoming images. Additionally, I added error handling for cases where image uploads might fail.

My progress is now on schedule, catching up on the slight delays from last week after resolving the connectivity issues of the Pico.

For the coming week, I plan to complete the user authentication system, including account creation, login, and profile management.  I also plan to implement the settings interface that would allow users to configure the glass and image taking parameters.

I’ll also be working closely with Dhruv as he transitions to help with the hardware side to ensure that software backend remains compatible with any changes.

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status report march 15th – Dhruv

Accomplishments this week:
This week I did a lot of work on the software back-end. Specifically, I spent a lot of time coding the location change detection program and got it working. I made a dummy website to show the model of this working. I have a map with a user that can be controlled by arrow keys that shows this program working. When the user becomes stationary, a signal to capture an image is sent and I use a vision model to get details about the image. I store all these details in a string and send these to an LLM (Open AI API) to get the summary.

Reflection on Schedule:
I am ahead of schedule now and have finished a large portion of the early developments of my part for the software back-end

Plans for next week:
Since I have done a lot of the early work on my part, I will be working on the hardware next week. In specific, I will be working on getting the arducam set up with Will.

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status report 3/8/25 – Dhruv

This week I worked on the raspberry Pi Pico, blue’s notecard, and arducam to learn how to set it up. I learned what all the pins do and how to connect each one together. I also spent a lot of time working on the paper that was due. I spent time researching section 6 and 7. I have also been working on setting up our AWS. I am configuring all the roles and IAM permissions we will need for this project. I have also been working on our location change detect function and will be testing it soon when we get the hardware side working. Overall, I believe I am slightly behind schedule but can catch up soon.

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Rohit’s Status Report – 3/8/2025

For the web app, I’ve made some more progress on the Django backend structure. I completed the initial database models for users, image records, location history, and daily summaries. I’ve established the relationships between these models and implemented the basic query functions needed to retrieve and display the data efficiently. I also created the first version of the calendar view that will serve as the main interface for users to access their daily logs.

On the cloud infrastructure side, I’ve been working with Dhruv to address the AWS configuration. I researched alternative approaches for handling image storage within the AWS free tier constraints, focusing on ways to optimize our S3 bucket usage through aggressive image compression and efficient data structures.

For the frontend, I refined the UI mockups based on our design requirements and began converting them into Django templates with responsive CSS.

My progress is slightly behind schedule due to the unexpected AWS configuration challenges and the time spent on the design report. To catch up, I plan to dedicate additional hours next week to the web app dev and will parallelize certain tasks by working on the frontend and backend simultaneously.

For next week, I plan to complete implementation of the calendar view with mock data integration and finalize API endpoints for image and location data processing.

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Team Status Report for 3/8/2025

One of the most significant risks currently facing the project is ensuring stable communication between the RPI Pico W and the Blues Notecard. Initial tests are indicating some reliability issues with maintaining a Wi-Fi connection, which could impact data transmission. To mitigate this, we are experimenting with different network configurations and will consider implementing a fallback mechanism that attempts reconnection in case of failure.

On the software side, integrating cloud services remains a challenge. While we initially planned to use AWS, we are still working within the constraints of the free-tier model. If we encounter limitations, we will most likely have to pay out-of-pocket in available AWS services.

Our contingency plan involves storing data locally on the Pico W and batch uploading it when a stable connection is available.

There are currently no design changes to our system architecture.

Thus, this week, we successfully flash the RPI Pico W and establish a basic Wifi connection. We also set up initial configurations for Blues, though further debugging is required to achieve stable data transmission.

Global Factors (written by William Wang)

GlassMate addresses a global need for effortless journaling by automating image capture and AI-driven summaries. It benefits travelers, professionals, and individuals with memory challenges by reducing cognitive load and eliminating manual documentation.

The system leverages IoT and cloud computing for scalable, secure data management, making it accessible worldwide. Privacy concerns are addressed with configurable capture settings and allowing users to not use glasses when doing sensitive tasks, ensuring ethical data collection. By integrating widely supported platforms like Raspberry Pi Pico W and Django, GlassMate remains adaptable and easy-to-use for all types of interested users.

Cultural Factors (written by Dhruv Dixit)

GlassMate considers cultural sensitivities around photography and privacy, allowing users to control when and where images are taken. Multilingual support in the web app enhances accessibility across diverse communities.

Beyond personal use, GlassMate benefits professionals by enabling automated documentation of fieldwork and events during the day. Its AI-generated summaries cater to both visual and text-based memory-keeping preferences, ensuring broad cultural relevance.

Environmental Factors (Written by Rohit Chand)

GlassMate prioritizes sustainability with energy-efficient components, data compression for reduced cloud storage use, and a modular design for easy upgrades.

Its reliance on cloud-based AI processing minimizes hardware requirements, lowering energy and waste consumption. Future iterations can incorporate recycled materials, reducing e-waste while maintaining product longevity and efficiency.

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William’s Status Report for 3/8/2025

This week, I made progress on embedded development with the Raspberry Pi Pico W. I successfully flashed the microcontroller and established a basic connection to Wi-Fi. While there are still some reliability issues with maintaining the connection, I plan to debug and refine this in the coming week.

Additionally, I started experimenting with the Blues Notecard, going through the setup process and initial configuration. I encountered some challenges in getting it to properly send data, but I will continue troubleshooting and refining the integration.

Overall, while I am making progress, I am still slightly behind schedule in getting the different components to communicate effectively. My goal for next week is to establish a stable connection between the Pico W and the Blues Notecard, allowing for basic data transmission. If time permits, I will also begin working on integrating the Arducam into the system.