ARCHIVES
Original Article
Implementation of Smart Ai System for Snake Bite Identification and Emergency Response
M.Srinivasan1
K.E Poornima2
S.Priyadharshini3
1 Head of the Department, Department of Information Technology, PSV College of Engineering and Technology, Krishnagiri,Tamil Nadu, India. 2 3 UG Scholars, Department of Information Technology, PSV College of Engineering and Technology, Krishnagiri, Tamil Nadu, India.
Published Online: January-April 2026
Pages: 360-363
Cite this article
No DOIReferences
1. Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444.
2. Chollet, F. (2017). Deep Learning with Python. Manning Publications.
3. Rawat, W., & Wang, Z. (2017). Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review. Neural
Computation, 29(9), 2352–24494. Shorten, C., & Khoshgoftaar, T. M. (2019). A survey on Image Data Augmentation forDeep Learning. Journal of Big Data, 6, 60.
5. OpenCV Documentation. Open Source Computer Vision Library. https://opencv.org
6. TensorFlow Documentation. TensorFlow: An End-to-End Open Source Machine Learning Platform. https://www.tensorflow.org
7. Keras Documentation. Keras: Deep Learning for Humans. https://keras.io
8. WHO. (2019). Snakebite Envenoming: A Global Overview. World Health Organization.
9. Warrell, D. A. (2010). Snakebite. The Lancet, 375(9708), 77–88.
10. Raj, S., et al. (2021). Snakebite Detection and Classification Using Deep Learning. International Journal of Computer Applications, 182(40),
25–31.
11. Zhang, Z., & Li, C. (2020). Medical Image Classification Using Convolutional Neural Networks. Journal of Healthcare Engineering, 2020,
1–15
2. Chollet, F. (2017). Deep Learning with Python. Manning Publications.
3. Rawat, W., & Wang, Z. (2017). Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review. Neural
Computation, 29(9), 2352–24494. Shorten, C., & Khoshgoftaar, T. M. (2019). A survey on Image Data Augmentation forDeep Learning. Journal of Big Data, 6, 60.
5. OpenCV Documentation. Open Source Computer Vision Library. https://opencv.org
6. TensorFlow Documentation. TensorFlow: An End-to-End Open Source Machine Learning Platform. https://www.tensorflow.org
7. Keras Documentation. Keras: Deep Learning for Humans. https://keras.io
8. WHO. (2019). Snakebite Envenoming: A Global Overview. World Health Organization.
9. Warrell, D. A. (2010). Snakebite. The Lancet, 375(9708), 77–88.
10. Raj, S., et al. (2021). Snakebite Detection and Classification Using Deep Learning. International Journal of Computer Applications, 182(40),
25–31.
11. Zhang, Z., & Li, C. (2020). Medical Image Classification Using Convolutional Neural Networks. Journal of Healthcare Engineering, 2020,
1–15
Related Articles
2026
Artificial Intelligence in Learning and Teaching
2026
Admin Assist: An AI – Driven Configuration and Orchestration for Enterprise Application
2026
Enhancing Blood Group Identification using pigeon inspired optimization: An Innovative Approach
2026
Eco-Genius: Power Up Smart, Power Down Waste
2026
Crowd-Sourced Disaster Response and Rescue Assistant
2026
