Description

BCalm – Smart Breastfeeding Insight

Breast milk is one of nature’s most powerful protections — it can reduce a mother’s risk of breast cancer by about 30%, lower the chance of gut infections in babies by around 70%, and enhance children’s IQ and cognitive development.

BCalm is an innovative medical-device project that helps mothers and healthcare professionals monitor breastfeeding in real time. It uses sensor technology to digitize the breastfeeding experience, providing mothers with real-time feedback and confidence.

The project aims to reduce stress and anxiety that often arise during breastfeeding due to uncertainty, and to empower mothers through a calm, confident, and uplifting experience supported by digital insight and simulation.

Dr. Ofer Melamed, ofer.melamed@gmail.com, 0524583263

Specification Documentation Guidelines
Objective
The goal of this project is to design a device that collects information about baby’s feeding after birth. The system must integrate hardware and
software components, emphasizing real-time data acquisition, communication,
processing, storage and feedback.

The final deliverable will be a closed-loop system of milk sensor, cloud and an App or a web-app. A detailed specification document that outlines the 
system architecture, design decisions, tools, protocols, and performance
considerations is required.

Final Deliverable: 
A working POC including Hardware and software (App or web dashboard)
System Specification Document

Introduction
The project should include the following sections:

1. System Overview
Define the purpose and goal of the IoT system
Describe the use-case or application (e.g., health monitoring, environment
sensing, smart agriculture)
Identify key stakeholders and users

2. System Architecture
Provide a block diagram of the system (devices, cloud, mobile, dashboards)
Describe each component:
* Edge device (e.g., ESP32)
* Sensors and actuators
* Communication modules
* Cloud / server
* User interfaces

3. Hardware Specifications
Micro-controller Selection
* Justify choice (e.g., ESP32 for built-in WiFi + BLE)
* Consider power, GPIO, ADC/DAC, memory, and cost

Sensor Integration
*  Describe various types of sensors (digital, analog, I2C, SPI, UART). Define how each sensor connects to the microcontroller.
Drivers and Libraries
* Identify and document available drivers or libraries (in Python
* Provide download sources and usage notes

4. Communication Protocols
Specify internal communication (e.g., I2C/SPI/UART)
Specify external communication (e.g., MQTT, HTTP, WebSockets, BLE)
Discuss encryption/security if relevant
Describe how data is transferred from the device to the server/cloud

5. Data Management &amp- Storage
Describe data formats (JSON, CSV, binary)
Describe storage strategy:

* On-device (e.g., flash, SD card)
* Cloud (e.g., AWS IoT Core, Firebase, or custom server)
Define how data is archived, retrieved, and backed up

6. Software Design
Define the software stack
* Language(s): Python
* Libraries and frameworks
* Logging and error handling
Include pseudo-code or flow diagrams of key routines
Define OTA (Over The Air) update method if applicable

7. Performance and Timing
Specify response times:
* Sensor polling rate
* Data transmission frequency
* System latency (from sensing to dashboard)
Describe how real-time behavior is handled
Specify watchdog/recovery mechanisms

8. Development Environment
Describe the IDE and tools (e.g., VS Code, Thonny, PlatformIO)
Describe version control tools (GitHub or GitLab)
Specify how to set up the environment

9. Key Performance Indicators (KPIs)
The document will be evaluated based on:
Clarity and completeness of system design
Correct protocol and component selection
Logical flow and organization
Quality of diagrams and illustrations
Justification of technical decisions
Reusability and scalability of the system design

10. Major technologies (as required)
* LoRaWAN- Sensors and gateways
* Node.js - Server
* Python - Server
* Python - AI and Machine learning
* MySQL - relational database
* React - Frontend

Submission Format
Word/PDF/google doc format (up to 15 pages), Include diagrams and links to any code or examples
link to Git repository
Working Hardware POC + App or Web

ofer.melamed@gmail.com‏
Sensors + Android(Server) + AI : Baby Feeding Tracking

Medical Fields

Description

Emphasis in project execution

The project is has cooperation with the industry and combines meeting deadlines while being creative and focused on the task
