Internship - Nexactly Solutions
Diagnosing pneumonia from Chest X-Ray using Neural Network
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The aim of the project is focused on implementation of the functionalities on healthcare system and providing free consultation by a doctor by use of chatbot.
We want to create a web application that is easy to use and covers all-round facilities for providing a consultation and prediction.
It allows the user to check his health reports at home with disease prediction and instant results according to their symptoms and reports they have uploaded.
It will include all the major precautions to be taken after the report is generated.
With the slightest change in our body’s behavior or temperature we start having anxiety but usually find it too early to consult a doctor in the first 2-3 days. Also checking the symptoms online, some websites usually end’s every symptom with cancer which is not reliable. So our project helps you have an interaction with an AI (artificial intelligence) based chatbot that will generate answers and predict
your disease.
There will be an image processing module through AI which will generate the reports based on the x-
rays the user has uploaded and also recommend the nearest doctors best in their fields according to your
symptoms.
1. Pneumonia prediction using chest X rays:
Lack of experienced Radiologists in developing countries cause deaths because of misidentification of diseases from X-rays. The AI system will be able to predict the pneumonia disease just like an experienced Radiologist with high accuracy within seconds.
2. Disease prediction using symptoms:
Lack of doctors in rural areas cause a lot of deaths because a lot of patients go untreated. This AI system can predict the disease based on the symptom and the patient can be treated with appropriate medicine.
3. Prediction of skin diseases:
A lot of people find embarrassment in going to the doctor for their skin problems. This AI can tell the patients their severity of skin disease so that they can go to the doctor without any delay.
With all the Software Requirements being known to us, we possessed all of the above given requirements and, downloaded and installed all the SDK’s and Software’s required.
After acquiring all the assets, we developed a test application as a way of figuring out how these technologies can sync together and work cohesively for accomplishment of a single task.
In this case study, we first designed our Artificial Intelligence module which Covers all-round facilities for providing a consultation and prediction. It allows the user to check his health reports at home with disease prediction and instant results according to their symptoms and reports they
have uploaded.
In this we have used An AI Based Disease predictor which can predict whether the patient has pneumonia or no. If he has then it also calculates the percentages as well. We have also used an AI Based disease classification system where the disease is predicted by uploading the image on
the system.
AI chatbot using NLU [Natural Language Understanding] and NLP [Natural Language Processing] and artificial neural networks. Using the chatbot you can interact and it will tell you what to do if you feel uneasy
The results of this case study were:
Free Consultation.
Instant Results.
Live Chat.
Live Reports Scanning :- Pneumonia predictor and skin disease predictor
We Proposed the Artificial Intelligence (AI) for learning The Results of the Pneumonia X-ray scans as well as the Skin Cancer Detection. The quality of AI design is very high. In conclusion, Artificial Intelligence is one of technology solutions and it is certainly a powerful tool that can be used to motivate and amuse students to improve their learning achievement.
Our system is based itself on the idea of using existing concepts, algorithms, libraries and technologies with minimal modifications and integrating them into a fully functional working application. Hence, we used Python for recognition, Spyder is a multi-language text editor with many helpful and intelligent features.
Artificial Intelligence provides a sense of aesthetic and a realistic scene in today’s environment for the user’s experience with the system. It provides interactive and navigational capabilities with different views.
