Project Hub /IoT & Connected Devices/Telemetry & Remote Logging/Published by telegram Received by Python

Intermediate

ESP32

Project Specific

3 – 6 Hours

Partial Kit

Published by telegram Received by Python

Learn how to bypass slow cloud servers by transmitting sensor data via ESP32 to a Telegram Bot channel and receiving it remotely using Python.

Originally published on ElectronicsForU

View original tutorial

Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

ESP32 WiFi+Bluetooth CP2102 Development Board Rs. 520.00
400 Points Mini Solderless Prototype PCB Breadboard High Quality Rs. 89.00
MB102 Adjustable Breadboard Power Supply Module (3.3V & 5V) for Arduino & Raspberry Pi Rs. 139.00
Jumper Wire 10 Pin Male To Male 20cm Rs. 45.00
Jumper Wire 10 Pin Male To Female 20cm Rs. 45.00

Selected: Rs. 0.00

We don't carry yet: LoRa Module
field sensors

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How It Works

This IoT telemetry system bridges remote field sensors with cloud messaging and local data processing using an ESP32 DevKit v1 microcontroller. Physical parameters from the field sensors are read by the ESP32, which acts as the core processing and communication node. To extend range across remote deployment areas, optional LoRa telemetry modules can be integrated to relay data wirelessly back to the main ESP32 station. Once collected, the ESP32 connects through a local internet router to transmit the sensor payload directly to a Telegram Bot channel, bypassing traditional heavy cloud infrastructure. On the receiving end, a computer running a custom Python 3 script connects to the Telegram application's API to poll and download the incoming messages in real time. This architecture allows an engineer or undergraduate developer to log telemetry data locally on a computer while simultaneously monitoring the system remotely via a smartphone or any device running the Telegram app.

Why Build This

Deploy a low-cost, independent remote telemetry station for agricultural or environmental monitoring without relying on paid commercial cloud servers.

Implement an industrial-style sensor logging pipeline that integrates embedded hardware with modern messaging APIs and desktop Python scripts.

Practice bridging hardware-level microcontroller programming with cloud-based chat platforms for real-time mobile alerts and data retrieval.

Real-World Application

Remote telemetry stations, industrial sensor monitoring, and real-time IoT data logging.

Skills You'll Learn

Microcontroller Wi-Fi connectivity

HTTP/API request handling

Telegram Bot configuration

Python socket and API integration

sensor data acquisition

wireless telemetry routing

Safety Precautions

No specific precautions noted for this build — always follow general electronics safety practices.

Technology Tags

ESP32

TELEGRAM BOT

PYTHON

LORA

TELEMETRY

IOT

WI-FI

Frequently Asked Questions

Do I need an always-on computer for the Python script to receive data?

Yes, the computer running Python 3 must remain powered on and connected to the internet to actively poll or listen for incoming messages from the Telegram Bot API.

Can I use this system completely offline without an internet router?

The internet router is required for the ESP32 to communicate directly with the Telegram servers, though local LoRa transmissions between remote sensors and the base station can occur without internet access.

How do I create the Telegram bot needed for this project?

You will interact with the official Botfather application inside Telegram to register a new bot name and obtain a secure API token, which is then hardcoded into your ESP32 and Python scripts.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

Kitkraft Project Hub — curated from the maker community, credited at the source.

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