[Open Call] Explore more possibilities for SenseCAP Watcher

[MatthewJeffson]

Overview

• We need your expertise in integrating and expanding the capabilities of our new product, Watcher, which leverages large language models for specific tasks.
  - We aim to deploy Watcher in private environments and train the model to recognize specific voice commands and control IoT devices.
  - We are looking to connect Watcher with various platforms such as Arduino for serial communication, Node-RED, Twitter, and Home Assistant.

Open Calls

The contents here are just for examples:

• Voice command, specific personnel recognize
• The Arduino serial port communicates, analyzes, drives the light blooms, and grafts it onto a robot
• Link node-red, Twitter
• Home Assistant Demo
• Private deployment
• Train Watcher's model by yourself, for example: SenseCraft AI(coming soon) platform, and the silky training, find an attractive object
• HTTP/HTTPS message notification content
• The localization part of Node-RED
• SquareLine Studio usage
• Multiple IoT Platform Usages

Reference:

• Watcher Wiki for comprehensive documentation and guides on deployment and customization.
• Integration with Node-RED
• Arduino Official Page
• Home Assistant Demo

How do we work together?

• Leave a comment with your GitHub name below as you accept this assignment and will complete the contents about what we are trying to present.
• For detailed guidance on contributing, refer to our Contributor Program page.
• We encourage contributions via Pull Requests to this repo.
• Upon your first "Pull Request", you will be invited as our "Contributor".
• Our maintainers will review the PRs and merge them after thorough review.

What do we offer?

We appreciate the contributions from the community and offer rewards based on the complexity and the time taken to submit the contributions:

1. Rewards range from Watcher products to cash bonuses, depending on the task's difficulty and the quality of the contribution.
2. Contributors who join our "Ranger Program" will receive additional benefits, including early access to prototype products.
3. All contributions will be acknowledged publicly on our platform to recognize the efforts of our community members.

FAQ

• If you have any questions, feel free to leave a comment here.

I think I can complete the assignment, but I need more time?

• We understand that some projects may require more time than initially anticipated.
• Please specify the time you need and provide a brief explanation. We will assess each situation on a case-by-case basis and accommodate reasonable requests.

[Dangerousfish]

I have an idea, but I will require the hardware to execute.

Proposal: Medication Reminder System for SenseCAP Watcher

Objective

Develop a Medication Reminder System that enables users to train the SenseCAP Watcher to recognise their specific medications based on attributes such as appearance, dosage, colour, and shape. The system will provide timely reminders for users to take their medications as prescribed.

Key Features:

• Medication Recognition Training:

• Allow users to input details of their medications, including name, dosage, colour, shape, and prescribed times.
• Utilise the Watcher's camera to capture images of each medication for visual recognition.

• Scheduled Reminders:

• Set up reminders based on the prescribed schedule for each medication.
• Provide visual and auditory alerts to prompt users to take their medications.

• Dosage Verification:

• Enable users to present their medication to the Watcher's camera at the scheduled time.
• The Watcher verifies the medication's appearance against the trained data to confirm correct dosage.

• Integration with External Platforms:

• Connect with platforms like Home Assistant to control smart home devices, such as turning on lights or sending notifications when it's time to take medication.
• Utilise Node-RED for creating custom workflows and integrating with other IoT devices.

• User Feedback and Adaptation:

• Allow users to provide feedback if the Watcher incorrectly identifies a medication, enabling continuous improvement of recognition accuracy.

Benefits:

1. Enhances medication adherence by providing personalised and timely reminders.
2. Reduces the risk of medication errors through visual verification.
3. Integrates seamlessly with existing smart home and IoT ecosystems.
4. Offers a user-friendly solution for individuals managing multiple medications.