Uploaded August 2026 | Updated September 2026, 2 weeks ago
What if an ESP32-CAM could see the world and tell you what it sees?
In this project, we build an ESP32-CAM AI Vision Assistant Pendant designed to help visually impaired users understand their surroundings using AI vision and voice feedback.
Full tutorial: circuitdigest.com/microcontroller-projects/esp32cam-ai-vision-assistant-pendant
With a simple button press, the ESP32-CAM captures an image, sends it to CircuitDigest Cloud for AI-powered image-to-text analysis, and then uses Sarvam AI Text-to-Speech to convert the description into spoken audio. The result is a compact wearable AI vision assistant that can describe what is around the user.
What you'll see in this project:
• ESP32-CAM based AI vision system
• Image-to-text using CircuitDigest Cloud
• AI text-to-speech using Sarvam AI
• MAX98357 I2S audio amplifier
• Multi-language voice support
• Compact 3D-printed wearable pendant
• Complete circuit, code and hardware assembly
The project supports Multilingual like Hindi, English, Tamil and Malayalam, making the voice interface more accessible for different users.
This is more than an ESP32 project. It is a look at how AI, computer vision, IoT and embedded hardware can come together to create practical assistive technology.
Build your own ESP32-CAM AI Vision Assistant Pendant and explore the complete project, circuit diagram, code and 3D-print files.
What would you add to this wearable AI assistant next? Let us know in the comments!
Timestamp
00:00 - Introduction & Real-World Impact
01:03 - High-Level Block Diagram & Workflow
01:32 - Circuit Diagram & ESP32-CAM Setup
01:43 - Circuit Digest Cloud (Image-to-Text)
02:22 - Breadboard Prototyping
02:45 - TTS Provider Comparisons (Wit.ai, Google TTS, Sarvam AI)
03:06 - Pro-Tip: ESP32 Antenna Breadboard Interference Fix
05:32 - Wearable Hardware & Enclosure Design
06:44 - Full Circuit Diagram & Component Assembly
07:06 - Arduino IDE Code Breakdown & API Integration
08:09 - Prototype Showcase & Power On
08:37 - Language Selection Demonstration
09:08 - Live Real-World Field Testing & Results
09:49 - Conclusion & Open-Source Resources
#ESP32CAM #ESP32 #AIVision #AI #ComputerVision #Arduino #IoT #EmbeddedSystems #AssistiveTechnology #WearableTech #DIYElectronics #electronicsprojects
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Find the latest electronics industry news covering new electronics component releases in various electronics domains such as embedded, power electronics, analog, digital, IoT, and Automotive industries: circuitdigest.com/news
-------------------------------------------------------------------------------------------------------------------------
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-------------------------------------------------------------------------------------------------------------------------
What if an ESP32-CAM could see the world and tell you what it sees?
In this project, we build an ESP32-CAM AI Vision Assistant Pendant designed to help visually impaired users understand their surroundings using AI vision and voice feedback.
Full tutorial: circuitdigest.com/microcontroller-projects/esp32cam-ai-vision-assistant-pendant
With a simple button press, the ESP32-CAM captures an image, sends it to CircuitDigest Cloud for AI-powered image-to-text analysis, and then uses Sarvam AI Text-to-Speech to convert the description into spoken audio. The result is a compact wearable AI vision assistant that can describe what is around the user.
What you'll see in this project:
• ESP32-CAM based AI vision system
• Image-to-text using CircuitDigest Cloud
• AI text-to-speech using Sarvam AI
• MAX98357 I2S audio amplifier
• Multi-language voice support
• Compact 3D-printed wearable pendant
• Complete circuit, code and hardware assembly
The project supports Multilingual like Hindi, English, Tamil and Malayalam, making the voice interface more accessible for different users.
This is more than an ESP32 project. It is a look at how AI, computer vision, IoT and embedded hardware can come together to create practical assistive technology.
Build your own ESP32-CAM AI Vision Assistant Pendant and explore the complete project, circuit diagram, code and 3D-print files.
What would you add to this wearable AI assistant next? Let us know in the comments!
Timestamp
00:00 - Introduction & Real-World Impact
01:03 - High-Level Block Diagram & Workflow
01:32 - Circuit Diagram & ESP32-CAM Setup
01:43 - Circuit Digest Cloud (Image-to-Text)
02:22 - Breadboard Prototyping
02:45 - TTS Provider Comparisons (Wit.ai, Google TTS, Sarvam AI)
03:06 - Pro-Tip: ESP32 Antenna Breadboard Interference Fix
05:32 - Wearable Hardware & Enclosure Design
06:44 - Full Circuit Diagram & Component Assembly
07:06 - Arduino IDE Code Breakdown & API Integration
08:09 - Prototype Showcase & Power On
08:37 - Language Selection Demonstration
09:08 - Live Real-World Field Testing & Results
09:49 - Conclusion & Open-Source Resources
#ESP32CAM #ESP32 #AIVision #AI #ComputerVision #Arduino #IoT #EmbeddedSystems #AssistiveTechnology #WearableTech #DIYElectronics #electronicsprojects
-------------------------------------------------------------------------------------------------------------------------
Please Like, Share, and Subscribe to our YouTube Channel: youtube.com/Circuitdigest?sub_confirmation=1
To access 1000+ DIY projects and circuit designs, visit: circuitdigest.com/electronics-projects
You can visit circuitdigest.com/forum to start a discussion with our engineers regarding any project
Subscribe to our Newsletter to never miss an update on CircuitDigest:
eepurl.com/dJ5xqU
Find the latest electronics industry news covering new electronics component releases in various electronics domains such as embedded, power electronics, analog, digital, IoT, and Automotive industries: circuitdigest.com/news
-------------------------------------------------------------------------------------------------------------------------
Connect with CircuitDigest:
👉 Website: circuitdigest.com
👉 Instagram: instagram.com/circuit_digest (@Circuit_Digest)
👉 Telegram: https://t.me/joinchat/pZ7lvkOWupBlODll
👉 WhatsApp: chat.whatsapp.com/EN2XEVnchJnBRgCmiQnDha?s=cl&p=i&ilr=4&amv=0
👉 Facebook: facebook.com/circuitdigest
👉 Twitter: twitter.com/CircuitDigest
👉 Pinterest: in.pinterest.com/circuitdigest
👉 LinkedIn: linkedin.com/company/circuit-digest
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