Development of Cloud, AI, Firmware (High-Level) & Mobile App Ecosystem for AI Wearable Unit
Budget: ₹500,000 – ₹1,000,000 INR
PROJECT OVERVIEW
We are developing a next-generation AI Wearable Unit that provides real-time, voice-first AI interaction through a cloud-based LLM engine.
The hardware development is already being handled by another vendor.
We now require a highly skilled software/firmware partner to build the complete software ecosystem, including:
• High-level firmware for AI interaction
• Cloud backend
• AI orchestration layer
• Mobile App (Android mandatory, iOS preferred)
• IoT messaging infrastructure
• OTA integration
This is a senior-level, multi-disciplinary project requiring solid experience in IoT, embedded systems, AI/LLM integration, and scalable cloud architecture.
SCOPE OF WORK
1. Firmware Development (High-Level Logic Only)
Low-level drivers, PCB, bootloader, and hardware abstraction will be done by the hardware vendor.
You will build the high-level firmware that includes:
Audio capture & packetization
Voice activation & voiceprint authentication
Upload audio packets to cloud AI engine
Receive streaming audio responses
Handle Wi-Fi, BLE, LTE switching logic
IoT communication stack (MQTT/WebSocket/HTTPS)
Sensor event detection logic
OTA trigger and update integration
Power & thermal management logic
2. Cloud Backend Development
A complete backend system including:
Device registration & provisioning
IoT messaging layer (MQTT/WebSocket)
Cloud APIs for app & device interaction
Event scheduling (daily/weekly routines)
Alerts & notification routing
Subscription & entitlement system
OTA firmware distribution logic
Logging & diagnostics
3. AI Orchestration Layer
Must include:
Integration with LLM APIs (OpenAI or similar)
Streaming audio output
Context engine for memory management
Sentiment-aware interaction (generalized)
Profile-based personalization
Prompt templates & structured workflows
Fallback logic
4. Mobile App Development (Android and iOS)
Features must include:
BLE pairing & onboarding
Wi-Fi configuration
Device dashboard (battery, connectivity, status)
Notifications for alerts & events
Ability to send messages/commands to device
Manage subscriptions
Trigger OTA updates
View basic logs/history
TECHNOLOGY SKILL REQUIREMENTS
Firmware:
ESP32-S3 experience
Audio streaming
MQTT/WebSocket
LTE module integration
Power optimization
Cloud:
Node.js / Python
Firebase / AWS / GCP
Real-time messaging
Scalable cloud architecture
AI:
LLM API experience
Real-time streaming
Prompt engineering
Orchestration layer design
App:
Android (Kotlin/Flutter)
BLE pairing workflows
Real-time cloud sync
DELIVERABLES
Firmware source code
Cloud backend source code
AI orchestration layer
Android app (APK + source)
iOS app (source)
Documentation
Deployment scripts
OTA infrastructure
API references
Weekly progress builds
PROJECT TIMELINE
Expected duration: 4–6 months (Firmware + Cloud + AI + App ecosystem)
PROPOSAL REQUIREMENTS
Please submit:
Your experience with IoT + Firmware + AI + Cloud
Past work samples (APK, GitHub, videos, dashboards, etc.)
Proposed architecture
Team structure (firmware, backend, AI, app)
Estimated timeline with milestones
Fixed-price proposal or milestone-based plan
We are developing a next-generation AI Wearable Unit that provides real-time, voice-first AI interaction through a cloud-based LLM engine.
The hardware development is already being handled by another vendor.
We now require a highly skilled software/firmware partner to build the complete software ecosystem, including:
• High-level firmware for AI interaction
• Cloud backend
• AI orchestration layer
• Mobile App (Android mandatory, iOS preferred)
• IoT messaging infrastructure
• OTA integration
This is a senior-level, multi-disciplinary project requiring solid experience in IoT, embedded systems, AI/LLM integration, and scalable cloud architecture.
SCOPE OF WORK
1. Firmware Development (High-Level Logic Only)
Low-level drivers, PCB, bootloader, and hardware abstraction will be done by the hardware vendor.
You will build the high-level firmware that includes:
Audio capture & packetization
Voice activation & voiceprint authentication
Upload audio packets to cloud AI engine
Receive streaming audio responses
Handle Wi-Fi, BLE, LTE switching logic
IoT communication stack (MQTT/WebSocket/HTTPS)
Sensor event detection logic
OTA trigger and update integration
Power & thermal management logic
2. Cloud Backend Development
A complete backend system including:
Device registration & provisioning
IoT messaging layer (MQTT/WebSocket)
Cloud APIs for app & device interaction
Event scheduling (daily/weekly routines)
Alerts & notification routing
Subscription & entitlement system
OTA firmware distribution logic
Logging & diagnostics
3. AI Orchestration Layer
Must include:
Integration with LLM APIs (OpenAI or similar)
Streaming audio output
Context engine for memory management
Sentiment-aware interaction (generalized)
Profile-based personalization
Prompt templates & structured workflows
Fallback logic
4. Mobile App Development (Android and iOS)
Features must include:
BLE pairing & onboarding
Wi-Fi configuration
Device dashboard (battery, connectivity, status)
Notifications for alerts & events
Ability to send messages/commands to device
Manage subscriptions
Trigger OTA updates
View basic logs/history
TECHNOLOGY SKILL REQUIREMENTS
Firmware:
ESP32-S3 experience
Audio streaming
MQTT/WebSocket
LTE module integration
Power optimization
Cloud:
Node.js / Python
Firebase / AWS / GCP
Real-time messaging
Scalable cloud architecture
AI:
LLM API experience
Real-time streaming
Prompt engineering
Orchestration layer design
App:
Android (Kotlin/Flutter)
BLE pairing workflows
Real-time cloud sync
DELIVERABLES
Firmware source code
Cloud backend source code
AI orchestration layer
Android app (APK + source)
iOS app (source)
Documentation
Deployment scripts
OTA infrastructure
API references
Weekly progress builds
PROJECT TIMELINE
Expected duration: 4–6 months (Firmware + Cloud + AI + App ecosystem)
PROPOSAL REQUIREMENTS
Please submit:
Your experience with IoT + Firmware + AI + Cloud
Past work samples (APK, GitHub, videos, dashboards, etc.)
Proposed architecture
Team structure (firmware, backend, AI, app)
Estimated timeline with milestones
Fixed-price proposal or milestone-based plan