Classification and Prediction of Snake Species based on Snakes’ Visual Features using Machine Learning

Recent studies by the Centre for Global Health Research (CGHR) has found that 1.2 million deaths due to snakebites are reported in India from 2000 to 2019 i.e., an average of annual 58,000 deaths. In India due to large amount of farming there’s been more no. of snake bites, people die due to lack of knowledge and correct treatment. Identifying the species of snake bitten plays a part of the treatment. These details helps the doctor to prescribe suitable anti-venom for the patient. We decided to create a model that identifies the type of snake species through description provided by the victim on the observable visual traits such as skin colour, head shape, scales on skin etc., using training and classification algorithms in Machine learning and provide the victims about urgency of the situation. This model should be trained with physical data of snake species so that we can get better snake predictions upon real-time use or scenario. Through this model we can create awareness among people in rural and hilly areas to put aside the myths and first aid measures and to be taken based on the snake type.