Firmware development for small dog wearables device -- 2

I'm reposting this project due to the demand and the requirements might change so it's better to discuss once I select the top 3 candidates. We're building wearable sensors for dogs to help monitor and analyze the potential onset of common major injuries such as: ACL tears, Achilles tears, Hip Displaysia, and Lameness. The locations and number of sensors are: 10 Total Sensors Back Right Leg (2 Sensors) 1 Sensor below knee 1 Sensor above knee Back Left Leg (2 Sensors) 1 Sensor below knee 1 Sensor above knee Front Right Leg (2 Sensors) 1 Sensor below knee 1 Sensor above knee Front Left Leg (2 Sensors) 1 Sensor below knee 1 Sensor above knee Hips (1 Sensor) Shoulders (1 Sensor) NOTE: Detailed final and overall requirements document will be sent upon final selection. The fixed price for this project will be disbursed in four (4) equal payments, at the completion, verification, and approval of each milestone. At each stage and final completion of this firmware project, we are relying on the firmware team to make the required decision on all firmware, network connections, and designs to ensure a successful product. Initial Deposit To Begin Purchase of hardware kits to test firmware (no impact on cost) Startup costs to being firmware development Milestone 1: Demo testing on kits (live demo) -Until the real hardware reaches firmware team, can show you firmware/software demonstrations on pre-built hardware that will be named as “kits”. -Individual and/or all ten sensors streaming individual accelerometer/gyro/mag data to the pre-built kits -Smart web app that connects devices, one device or all ten to the kits (this might happen at milestone #2) -“Start” and “Stop” app that starts and stops all ten sensors at the same time. (this might happen at milestone #2) Milestone 2: Testing on real hardware (live video testing) -Based on all requirements listed in this document, all data (accelerometer, gyro, mag) streaming from all ten sensors to wifi connection and displayed in our AWS Cloud environment OR test MQTT cloud provider -Data saves on Flash storage components, and then streams from all ten sensors Flash storage to wifi to our AWS cloud environment. This occurs when there is no wifi connection or the devices are out of range of the wifi connection and then uploads the data when back in connection to the WIFi network. -“Smart”web app that allows users to easily connect all ten sensors to their home wifi network, and then display all ten sensors are connected to wifi network -Start and Stop functionality to “Start” all ten sensors at the same time, and, “Stop” functionality to stop all ten sensors at the same time. -Test devices in 3D printed cases Milestone 3: Final prototype delivery and final testing (live video) -All testing, debugging, and required fixes completed for working product -Use “smart web app” to easily connect all ten (10) sensors using SSID and password to home wifi network -Start all ten sensors from the app, and Stop all ten sensors when finished. -Fully polished working product that has 10 individual sensors in 3D printed cases that stream accelerometer/gyro/mag data from each sensor to a 3rd party endpoint and displays in our AWS cloud environment -Live demonstration of all ten sensors placed on a human (as per our requirements). Human must walk, run (don’t hurt themselves), go up and downstairs, and go outside the wifi network range and return to upload all saved data from Flash to wifi to our AWS cloud environment and MQTT cloud provider.