Identifying Mosquito Species Using Smartphone Cameras

Identifying Mosquito Species Using Smartphone Cameras

The goal of this project is to enable the non-expert person by leveraging their smartphone to detect harmful vs non-harmful mosquitoes.

Artificial Intelligence

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According to WHO(World Health Organization) reports, among all disease transmitting insects mosquito is the most hazardous insect. In 2015 alone, 214 million cases of malaria were registered worldwide. Zika virus is another deadly disease transmitted from mosquitoes. According to CDC report, in 2016 62,500 suspected case of Zika were reported to the Puerto Rico Department of Health (PRDH) out of which 29,345 cases were found positive. There are 3500 different species of mosquitoes present in the world out of which 175 types is found in United States. But only few of them are responsible for these above mentioned fatal disease. Therefore classification between hazardous and regular mosquitoes are very important. For regular person with no expertise in this field would be almost impossible to identify the difference. Even for the mosquito expert, identifying different species is a very tedious and time consuming job. Hence in this paper, we have tried to classify 7 different species of dead mosquitoes with total 60 samples collected from Hillsborough County Mosquito and Aquatic Weed Control Unit,Tampa Florida by capturing image from smart phone cameras. With our approach we want to enable nonexpert population to early identify the risk and act pro-actively. We pre-processed the image for removing noise and applied random forest classification algorithm to distinguish different species. Achieved good precision,recall,F1 measure and aggregate 83:3% accuracy. We are also planning to develop a smart-phone application which will leverage this learning model and help in empowering population to identify mosquito species without any knowledge in this field.

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Soubhik D. created project Presentify-let's know where we stand

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Presentify-let's know where we stand

Suppose we're speaking in a hall before a hige audience but are unable to know whether or not the audience is interested so that we can mix up with lightning talks, motivational stories, quotes, etc. At that time, our talk starts becoming boring and we start getting the tag of 'unwanted speaker'. This will never happen if we have the data, specifically data of dynamic and running time users' rating of the speakers. There just needs to be a few Realsense Cameras placed optimally in the hall and a person/bot with AR and or VR headset tracks the user's rating collectively (heatmap). Realsense cameras and the headset are connected. This promises to make every talk in the world interesting after gathering enough data.

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Sahil S. updated status

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Sahil Singh

Iam currently working on a life saving IoT device which helps diabetic type-1 patients to automatically regulate their insulin levels. And also gives notification on high or low blood sugar..

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Sofian H. updated status

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Sofian Hadiwijaya

Now I just started new company call warung, warung is a small shop that sells cold bottled drinks, candy, cigarettes, snacks and other daily necessities, while the larger ones are small restaurant establishments. But instead of using POS to track the transaction we will build speech recognition and computer vision If you have any comment or suggestion for my project feel free to comment Thanks

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Jayesh A. updated status

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Jayesh Ahire

I am working on a AI with basically a high EQ. It is a kind of chatbot which can help people to get out of a emotional stress and it will make life if a emotionally weak people really easy in my opinion.

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Opetunde A. created project Blood in need

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Blood in need

With over 10,000 people dying every year in Nigeria due to lack of access to blood at the time of need, this project is designed to help hospitals predict the amount of blood that will be needed at a particular point in time for treatment even before the need arises so that adequate preparations are made to make blood (with different blood types) available and accessible when it is needed.

In this project there will be need for data to build a predictive model with a machine learning algorithm. However, I have had a a lot of issues trying to access the data in my home country because of some health policies in place. Any ideas on how to get an open and relevant data from another country to work with

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Troy S. created project glObe

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You find yourself shipwrecked on an island after a very recent storm. When you come to, you are greeted warmly by the island chieftain who happens to point out that your ship is broken and beyond repair. Your pockets are empty and you are stranded. The chieftain tells you to introduce yourself to the local island folks while she prepares a place for you to stay.

Upon doing so, you will discover the currency, trade, and skills needed to help the locals rebuild their island and advance their technology and fishing prowess. Heck! If you work hard enough, you might be able to set sail again.

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Dhawal B. updated status

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Dhawal Babbar

Hey all, Skills ● Machine learning enthusiast - Python (OPENCV), OCTAVE, Andrew NG course cousera - , Neural Networks Coursera -, Introduction to Datascience in Python ● Competitive Programming - C++ ● Database Management – MYSQL Projects​ ​and​ ​Publications: TEAM: ● Star-Force​, A playful implementation of Jedi - force Using VR, Arduino, Image Processing (Shown at TEI 2017) ● Virtual​ ​Prosthetic​ ​arm,​ ​a virtual arm to relieve phantom limb pain INDIVIDUAL: ● Fly the Bird, A basic game using C Graphics ● Lets see your jump, A game using Python ● Sudoku solver, in python and c++ Awards ● ACM International collegiate programming contest (ACM ICPC)-2016 (Qualified for India Regionals) ● Darrel Chong Award - IEEE USICT 2017 - Leader IEEE USICT Volunteering and participation ● International conference on computational techniques (ICCTICT)-2016 (Part of Organizing committee) ● Volunteer at IMC(India Mobile Conference 2017) ● Mc Graw Hill- Data Science Workshop ● IEEE DSC 2016, 2017 ● IEEE Workshops on android and software development Along with this i am chairperson at IEEE USICT STUDENT BRANCH 2017-18

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Long Bao

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Ahan Makanur

Peenya, Bengaluru, Karnataka, India

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Onur Boyar

I am a senior Management Information Systems student in Bogazici University, Istanbul.

Cankurtaran Mh., Kabasakal Cd. 1-1, 34122 Fatih/İstanbul, Turkey

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Hyunho Choi

I received a B.S. from Department of Information and Statistics, Yonsei University, Wonju, Korea, in 2014, and the M.S. degree in medical biotechnology from Dongguk University, Gyeonggi-do, in 2016. He is currently working toward a Ph.D. degree in Electronic and Computer Engineering at Hanyang University, Seoul, Korea. His research interests include image processing such as noise reduction of the image and image fusion

South Korea

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Isaac Thani

Student and Entrepreneur.

Kazan, Tatarstan, Russia

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