{"schema":"BUIDL","d":{"id":16986,"members":[{"hackerId":172693,"projectMemberId":15874,"avatar":"https://cdn.dorahacks.io/static/files/19262640c89386470c495d44e4b9a6a1.png","name":"snigdhab7","handle":"snigdhab7","email":"***@***","status":"accepted","role":2,"title":null,"introduction":null},{"hackerId":172704,"projectMemberId":15873,"avatar":"https://cdn.dorahacks.io/static/files/192626bf4c5e25effc7946040908cc3e.png","name":"ks0306","handle":"U_2435279f9e4c01","email":"***@***","status":"accepted","role":2,"title":null,"introduction":null}],"pictures":["https://cdn.dorahacks.io/static/files/1926243ac26aed1fdbbac4e450b8da2c.png"],"roundProjects":[],"hackathonProjects":[{"id":18451,"hackathon":{"id":597,"tabSet":[{"id":1104,"name":"Submission Guide","slug":"submission-guide","description":"# Tutorial Video\n\n![YouTube](https://youtu.be/yWhQPzxptg0)\n\n# **Getting Started [3-5 MIN]**\n\n**1.** **Submit your BUIDL via [DoraHacks.io](https://dorahacks.io/). You need an account with DoraHacks before you can submit.**\n\nUse the **Log in** button in the upper right corner of the page to access the sign-up options.\n\n

\n\nYou can create your account with either your **GitHub account, Google account, crypto wallet** or **email address**. We recommend connecting your account to GitHub to share your projects with a wider audience.\n\n*If asked for a verification code via email, the email may take a few minutes to arrive. The code expires 10 minutes after you click “**send code**”.\n\n**2.** **Before the submission deadline, make sure you have added your Github link to the project. You can submit the project first, and continue editing until the deadline.**\n\nClick “**Submit BUIDL**”.\n\n

\n\n\n> **→ Already have a BUIDL on DoraHacks?**\n> \n\n1. Click “**Use existing BUIDL**” and select your BUIDL project.\n2. Choose the track you want to enter. \n3. Answer the questions set by the organizer in the input field if applicable.\n\n

\n\n\n> **→ Submitting a new BUIDL?**\n> \n> Click **“Create new BUIDL”** and fill out the form with your project details.\n\n

\n\nBe sure to include **URLs (with http/https://)** for your demo, demo link, and social media.\n\n

\n\n

\n\nOnce you’ve completed the new BUIDL setup, select the relevant track, and click **“Submit for review”**.\n\n

\n\nAfter submitting successfully, you'll see this notification.\n\n

\n\n# **Manage BUIDL submission**\n\nAfter submitting your application, the \"Submit\" button will update to \"Manage Submission\". Click the button to manage your BUIDL's Track/Bounty submission.\n\n

\n\n# **Project Approval**\n\nAfter submission, your project needs to be approved by the Hackathon Organizer before it becomes publicly visible in the Hackathon [BUIDLs gallery](https://dorahacks.io/hackathon/597/buidl).\n\n

\n\n# **Getting Support**\n\nIf you have any questions for the hackathon organizers, feel free to contact them via their dedicated Telegram, Discord, or Slack communication channel. You can also click the \"**Message**\" button next to the organizer's logo to DM them on DoraHacks.\n\n# **Want to Update Your BUIDL?**\n\nHead to your Account Center by clicking **[Avatar] -> [Profile]**. Find your project and hit the **Edit** button on its detail page to make changes.\n\n

\n\n

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It uses predictive modeling to automate plant watering and utilizes both IoT and AI technologies for optimal plant care.\n\n $\"image\"$ \n\n## AR Plant Tracking\n\nhttps://github.com/user-attachments/assets/4899f539-b5b0-4cac-8d50-52982a8c6643\n\n\n\n## Table of Contents\n\n- [Architecture](#architecture)\n - [Hardware Components](#hardware-components)\n - [Software Components](#software-components)\n- [Sponsors](#sponsors)\n- [Competition Tracks](#competition-tracks)\n\n## Architecture\n\n### Hardware Components\n $\"image\"$ \n\nThe hardware setup of GreenMate revolves around the **ESP32S3** microcontroller, which serves as the central hub for sensor data collection and wireless communication.\n\n- **ESP32S3**: A powerful microcontroller used to gather data from various sensors and transmit it to software platforms for analysis.\n- **Soil Moisture Sensor**: Measures the moisture level in the soil, allowing the system to assess when plants need watering.\n- **WiFi Module**: Enables wireless data transfer from the ESP32S3 to cloud-based software.\n- **Photoresistor Light Sensor**: Monitors the light intensity, which influences plant growth and watering needs.\n- **DHT11 Humidity Sensor**: Captures environmental humidity and temperature, contributing to an accurate watering prediction model.\n- **Snap AR Spectacles**: Augmented reality glasses used for visualization or capturing plant data.\n\n### Software Components\n\nGreenMate’s software ecosystem collects, analyzes, and visualizes data to make intelligent decisions about plant care.\n\n- **ThingSpeak**: An IoT analytics platform for aggregating sensor data and visualizing trends in real-time.\n- **MATLAB**: Used for data analysis and developing the prediction models based on sensor data.\n- **Next.js**: A React framework that powers the **PWA (Progressive Web App)**, providing an intuitive user interface for monitoring and managing plant health.\n- **PWA App**: A Progressive Web App that offers cross-platform access to GreenMate’s functionalities.\n- **Kaggle**: A platform leveraged for data science purposes, likely involved in building the **Watering Prediction Model**.\n- **Flask**: A Python-based web framework that hosts the watering prediction model and handles backend operations.\n- **Watering Prediction Model**: A predictive model (machine learning or rule-based) to intelligently determine the optimal time to water plants.\n\n## Sponsors\n\nGreenMate is supported and sponsored by several organizations that provide resources, technology, and awards:\n\n- **Snap AR**: Sponsor for the use of augmented reality technology through Snap AR Spectacles.\n- **GoDaddy Registry (Best Domain Name)**: Supporting the project’s domain registration and providing recognition for creative domain naming.\n- **NotebookLM**: A sponsor track focusing on the most innovative and creative use of the NotebookLM technology.\n\n## Competition Tracks\n\nGreenMate is part of various competition tracks, each highlighting different aspects of the project:\n\n- **Snap AR Spectacles**: Demonstrating creative and impactful uses of Snap AR technology within GreenMate.\n- **Most Creative Use of NotebookLM**: Acknowledging the innovative use of NotebookLM technology in the project.\n- **Environment**: Recognizing projects that focus on environmental sustainability and positive ecological impact.\n- **Hardware**: Highlighting the hardware innovation and integration in the project.\n- **Best Selfie**: A fun and creative track focused on using Snap AR Spectacles to take interesting selfies.\n- **Best Use of Defang**: A track rewarding unique technical implementations or creative challenges solved in the project.\n\n---\n\n $\"image\"$ ","teamDescription":"Snigdha: MSCS graduate student at Northeastern University, graduate in 2025.\nEnkhbold: CS undergraduate student at De Anza College, graduate of 2025.\nKshitij: MSCS graduate student at UMass Lowell, graduate in 2025.\nHo Lok: CS undergraduate 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integrated system designed to monitor plant health by detecting environmental parameters like soil moisture, light, and humidity levels. It uses predictive modeling to automate plant watering and utilizes both IoT and AI technologies for optimal plant care.\n\n $\"image\"$ \n\n## AR Plant Tracking\n\nhttps://github.com/user-attachments/assets/4899f539-b5b0-4cac-8d50-52982a8c6643\n\n\n\n## Table of Contents\n\n- [Architecture](#architecture)\n - [Hardware Components](#hardware-components)\n - [Software Components](#software-components)\n- [Sponsors](#sponsors)\n- [Competition Tracks](#competition-tracks)\n\n## Architecture\n\n### Hardware Components\n $\"image\"$ \n\nThe hardware setup of GreenMate revolves around the **ESP32S3** microcontroller, which serves as the central hub for sensor data collection and wireless communication.\n\n- **ESP32S3**: A powerful microcontroller used to gather data from various sensors and transmit it to software platforms for analysis.\n- **Soil Moisture Sensor**: Measures the moisture level in the soil, allowing the system to assess when plants need watering.\n- **WiFi Module**: Enables wireless data transfer from the ESP32S3 to cloud-based software.\n- **Photoresistor Light Sensor**: Monitors the light intensity, which influences plant growth and watering needs.\n- **DHT11 Humidity Sensor**: Captures environmental humidity and temperature, contributing to an accurate watering prediction model.\n- **Snap AR Spectacles**: Augmented reality glasses used for visualization or capturing plant data.\n\n### Software Components\n\nGreenMate’s software ecosystem collects, analyzes, and visualizes data to make intelligent decisions about plant care.\n\n- **ThingSpeak**: An IoT analytics platform for aggregating sensor data and visualizing trends in real-time.\n- **MATLAB**: Used for data analysis and developing the prediction models based on sensor data.\n- **Next.js**: A React framework that powers the **PWA (Progressive Web App)**, providing an intuitive user interface for monitoring and managing plant health.\n- **PWA App**: A Progressive Web App that offers cross-platform access to GreenMate’s functionalities.\n- **Kaggle**: A platform leveraged for data science purposes, likely involved in building the **Watering Prediction Model**.\n- **Flask**: A Python-based web framework that hosts the watering prediction model and handles backend operations.\n- **Watering Prediction Model**: A predictive model (machine learning or rule-based) to intelligently determine the optimal time to water plants.\n\n## Sponsors\n\nGreenMate is supported and sponsored by several organizations that provide resources, technology, and awards:\n\n- **Snap AR**: Sponsor for the use of augmented reality technology through Snap AR Spectacles.\n- **GoDaddy Registry (Best Domain Name)**: Supporting the project’s domain registration and providing recognition for creative domain naming.\n- **NotebookLM**: A sponsor track focusing on the most innovative and creative use of the NotebookLM technology.\n\n## Competition Tracks\n\nGreenMate is part of various competition tracks, each highlighting different aspects of the project:\n\n- **Snap AR Spectacles**: Demonstrating creative and impactful uses of Snap AR technology within GreenMate.\n- **Most Creative Use of NotebookLM**: Acknowledging the innovative use of NotebookLM technology in the project.\n- **Environment**: Recognizing projects that focus on environmental sustainability and positive ecological impact.\n- **Hardware**: Highlighting the hardware innovation and integration in the project.\n- **Best Selfie**: A fun and creative track focused on using Snap AR Spectacles to take interesting selfies.\n- **Best Use of Defang**: A track rewarding unique technical implementations or creative challenges solved in the project.\n\n---\n\n $\"image\"$ ","images":["https://cdn.dorahacks.io/static/files/1926243ac26aed1fdbbac4e450b8da2c.png"],"team":"Snigdha: MSCS graduate student at Northeastern University, graduate in 2025.\nEnkhbold: CS undergraduate student at De Anza College, graduate of 2025.\nKshitij: MSCS 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