Component: Wildlife & Forest Monitoring System (LoRa + IoT + Solar-Powered)

Protecting wildlife and preserving forests is one of the biggest challenges of our time. Imagine a system that can silently detect animal activity in deep forests, even where there is no mobile network coverage. That’s exactly what this project delivers – a LoRa-powered Wildlife Monitoring Node built using LoPy + LILYGO ESP32 boards.

Students don’t just build a project here – they create a real-world eco-tech solution used by conservationists and researchers worldwide.

• Node 1 (LoPy):
  Powered by solar + battery, equipped with PIR motion sensors and sound sensors, this node detects the movement and activity of animals in remote forest areas. The data is transmitted over long-range LoRa communication, traveling several kilometers without the need for mobile towers.

• Node 2 (LILYGO LoRa32):
  Acts as the receiver station. It logs the animal activity, displays instant updates on its OLED screen, and forwards the data via WiFi to a cloud dashboard. Researchers or forest officers can then monitor activity in real time on their mobile apps or laptops.

• 🔥 Trending Technology: Combines LoRa (long-range IoT), ESP32, solar power, and cloud integration – all in one project.

• 🌍 Real-World Relevance: Solves practical problems in wildlife conservation, forest safety, and eco-research.

• 📲 Mobile App Dashboard: Data is accessible anytime, anywhere – giving the project a modern IoT finish.

• 💡 Career Booster: Great for resumes and placement interviews – shows skills in IoT, Embedded Systems, Cloud, and Wireless Communication.

• 🏆 Innovation Ready: Extendable into research papers, patents, or startup ideas.

• 🌞 Solar-powered node for uninterrupted field deployment

• 🦌 Detects animal movement and sound activity in real time

• 📡 LoRa communication ensures coverage up to 10 km without GSM

• 🖥 OLED display for on-site logging

• ☁️ WiFi + Cloud Integration – view data on dashboards and mobile apps

• 🔋 Battery backup for 24/7 operation in remote areas

• Final Year Engineering & M.Tech Students

• IoT, Embedded Systems & Wireless Communication Projects

• Students aiming for placements in IoT/AI companies

• Eco-tech enthusiasts passionate about wildlife protection