Project name (Short code for country?)

School: United World College South East Asia (East Campus)
Website: https://kk-59.github.io/futureport/

This project aims to tackle the widespread problem of mosquito-borne diseases in urban areas – particularly, SGD 3: Global Health and Wellbeing. Dengue is the most common mosquito borne disease, with 3.9 billion people at risk of contracting it. It is most common in tropical and urban areas making Singapore, where we are based, a prime location for the disease. To make matters worse, treatments for these are usually expensive. In these cases, prevention is better than cure.

Differentiating between dangerous mosquitoes from regular ones is the key to mitigating this problem at a low cost: after identifying a dangerous mosquito, families can protect high-risk individuals (babies, the elderly, etc.) and simply use insecticide to kill the mosquito. Then, they can raise the alarm and look for eggs/other mosquitos in the home. However, differentiating these mosquitos is impossible with bare eyesight.

Our app allows users to take a picture of a mosquito and uses the power of AI to classify mosquitos based on whether they carry diseases or not. It has functionality on mobile and web, and has intentionally minimalistic UI – so elderly people, and people with less powerful devices, can still use it.

We believe it can aid in achieving the third SDG as it tackles the neglected problem of mosquito-borne diseases -- A disproportionate amount of funding goes into reducing the impact of mosquito-borne diseases. We believe our solution can make an impact in this area without expensive, difficult-to-obtain equipment. Almost everybody has a phone, and our app doesn't need any other specialised equipment to run.

Sustainable Development Goals:
SGD 3, Good Health and Wellbeing, focuses on the promotion of improved well being and public health of global citizens. Target 3.3 focuses on eliminating various epidemics by 2030, one being neglected tropical diseases. Neglected tropical diseases (NTDs) are a group of serious medical conditions that are prevalent in tropical areas. While these diseases pose a significant threat to over 3.9 billion people, in particular children and women in impoverished communities, they are hard to control, as most are vector-borne. Furthermore, as these problems are most prominent in less economically developed countries with a lack of technology and professional infrastructure, controlling the problem of NTDs is especially difficult. Our solution provides an affordable yet effective solution to this problem -- through identifying disease-borne mosquito species in advance, communities gain awareness on their risk to NTDs, thus preventing larger clusters. At the moment, our application focuses on identifying Aedes aegypti, the NTD-borne mosquito species that spreads dengue. This species can be lethal upon bites, and is already a great threat to many communities, one being Singapore, the area our group is based in. We hope to further develop our app in the near future to provide information on how to react to NTD bites, as well as expand our machine learning technology to classify more NTDs.