Authors : Neethu D.

Volume/Issue : Volume 11 - 2026, Issue 4 - April

---

Google Scholar : https://tinyurl.com/3ssfhsxx

Scribd : https://tinyurl.com/45av6p88

DOI : https://doi.org/10.38124/ijisrt/26apr1777

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

---

Abstract : Human–wildlife conflicts are a growing issue in forest-border regions like Attappady, where frequent animal attacks cause significant loss to human life, crops, and property. This paper proposes an AI-enabled smart alert and monitoring system that combines artificial intelligence, sensors, and IoT technologies to detect wild animal movement near human habitats. The system employs intelligent sound-based deterrents and instant alerts to minimize human-animal interaction risks. The solution aims to ensure the safety of both humans and wildlife through a non-harmful and sustainable approach.

References :

1. Dheeraj, S., et al. (2023). AI for Wildlife Conservation. International Journal of AI Research.
2. Menon, V. (2022). Human–Wildlife Conflicts in India. Wildlife Trust of India.
3. Kumar, R., & Singh, A. (2024). IoT-based Alert Systems for Animal Detection. IEEE Access.
4. Government of Kerala. (2025). Wildlife Protection and Rehabilitation Reports, Attappady Division.