ENTC / ECE

Smart Energy Meter

Smart Energy Meter is a intermediate-level hardware project idea for ENTC / ECE students, focusing on practical application of ESP32, LoRa, React.

Difficulty: IntermediateType: HardwareBudget: ₹9,000Duration: 6-8 weeks

Abstract

This project proposes Smart Energy Meter, a hardware initiative aimed at ENTC / ECE learners. It combines ESP32, LoRa, React to deliver a functional prototype while reinforcing fundamentals. Budget and duration are estimates; actual costs vary by location and component choices.

Problem statement

Students in ENTC / ECE often lack hands-on project ideas that connect theory with practice. Smart Energy Meter addresses a real-world need by applying ESP32, LoRa, React to solve a domain-specific problem.

Objectives

  • Understand the core concepts behind Smart Energy Meter.
  • Design and implement a working prototype using ESP32, LoRa, React.
  • Evaluate performance and usability of the solution.
  • Document findings and suggest improvements.

Key features

  • Core functionality for Smart Energy Meter
  • User-friendly interface or control mechanism
  • Data logging or reporting where applicable
  • Modular and extensible design

Implementation roadmap

  1. Research and requirement analysis
  2. System design and architecture
  3. Implementation of core modules
  4. Integration and testing
  5. Documentation and final report

Required hardware & software

  • Microcontroller board
  • Sensors/actuators as needed
  • Development IDE
  • Basic electronics tools

Testing approach

Unit testing of individual modules, integration testing, and a basic usability/performance check. No fabricated experimental results are claimed.

Expected outcome

A functional hardware prototype demonstrating the feasibility of Smart Energy Meter, along with documentation.

Limitations

Prototype scope is limited; real-world deployment may require additional safety, scaling, and compliance considerations.

Future scope

Extend with advanced features, better UX, and integration with related systems.

Learning prerequisites

  • Basic knowledge of ESP32
  • Basic knowledge of LoRa
  • Basic knowledge of React