I want to make a PCB with ESP32-C3 + MPU9250, can you help with the schematic?

[VMTG]

Hello everybody! I'm new to electronics and would like to ask for help creating a PCB circuit schematic for a personal project.

I want to use an ESP32-C3 as the main microcontroller and an MPU-9250 sensor to measure acceleration and gyroscope in real time.

Communication between the two will be done via I2C (SDA/SCL), and I intend to power the circuit with a 3.7V LiPo battery, with a wireless charging module incorporated into the PCB. I know it may be necessary to use a voltage regulator for 3.3V as the ESP32-C3 and sensor work at that level.

I wish the schematic included:

Decoupling capacitors for the ESP32-C3 and the MPU-9250 sensor;

Pull-up resistors on the I2C bus (typical values ??of 4.7kΩ);

Header with TX, RX, GND and 3.3V pins to be able to program the ESP32-C3 via UART;

Basic circuit to charge the battery by induction (wireless), with protection if possible;


Good design practices (separate power and data tracks, minimize noise on I2C, etc.).

I have little experience with schematics or PCBs, so I would greatly appreciate any guidance, example or file you can provide me (for example for EasyEDA or KiCad).

Thank you very much in advance!

[Smokey]

Go to SparkFun and adafruit and find esp32c3 development boards.  They have full schematics.  Copy those. Schematics and add your sensor. 

[ahsrabrifat]

Here is a design that you can see as a reference. It's a 2-layer PCB 78.185 x 49.05 mm FR-4, 1.6 mm, 1, HASL with lead, Green Solder Mask, White silkscreen. Minidrone based on ESP32 and MPU9250/6500. Schematic, layout, garber and code are given.

 https://www.pcbway.com/project/shareproject/W962131AS1M1_droninho_kicad_pcb_d2d8544c.html

This is an open-source hardware project designed to democratize access to drone technology. It is a custom-designed micro drone featuring a modular architecture built with KiCad, open hardware components, and accessible fabrication workflows. Whether you're exploring drone flight dynamics, embedded systems, or looking to integrate autonomy with computer vision and sensors, it provides the perfect launchpad. By making drone development transparent and replicable, it promotes education, innovation, and hands-on learning in STEM.