We aim to provide tools for analyzing various pathologies just from an x-ray image. This will contribute to helping Medical Professionals analyze a patient more accurately and, in many cases, will help narrow down the medical issue much faster. We also aim to make our tools public through the intern
Medical AI Hybridization
We aim to provide tools for analyzing various pathologies just from an x-ray image. This will contribute to helping Medical Professionals analyze a patient more accurately and, in many cases, will help narrow down the medical issue much faster. We also aim to make our tools public through the internet to allow access for any Medical Professional who requires it. Additionally, our Health system aims to keep a patient's full medical history in a single place from where any Medical Professional can look it up.
Our basic objective is to create a Machine Learning model which can identify x-ray images and upon those images can identify whether any chest pathologies can be detected. Secondly, we aim to create a record-keeping system which will be able to maintain and show the patient's full medical background. Lastly, we aim to deploy our project on the internet so it can be accessible to any Medical Professional who signs up with our system.
We will start off by gathering data on x-ray images WITH the pathologies which we want to detect. We will process the data into a more usable form. We will then pass the data into our Machine learning model for training. Once the model has been trained on distinguishing various pathologies on an Xray scan then we will put it into production. The next thing we will aim to do is save the medical history of a patient in a database. We will also save any accompanying images and videos along with it. Lastly, we will deploy our project to a server and accept the
This will help the Medical Professional to analyze a patient's Xray much faster and much more accurately. This is especially beneficial for areas where the number of patients is too much for doctors to handle efficiently. S0, by providing a helping hand in the diagnostic process doctors can perform their duties much more quickly, efficiently and make more time for more patients. Also, by having a record of Medical History record in a digital form, a medical professional can access more information about a patient much more efficiently.
The final delivery shall have various User portals such as a portal for a patient and another portal for the doctor. Through these portals the users can manage their own personal accounts and can access features which are meant for their user. Doctors can have access to the AI analysis tools which can analyze Xray's. Doctors can also access the patient's information and medical history. This project will be uploaded to a server with a custom domain, so anyone can have access to these services and sign up.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Google Colab | Equipment | 2 | 10000 | 20000 |
| Google Cloud Compute Engine | Equipment | 2 | 10000 | 20000 |
| Domain | Equipment | 1 | 5000 | 5000 |
| Google Cloud AI Platform | Equipment | 1 | 25000 | 25000 |
| Miscellaneous | Miscellaneous | 1 | 10000 | 10000 |
| Total in (Rs) | 80000 |
Pyrolysis is a thermal cracking reaction of the large molecular weight polymer carbon chai...
When the overloading occurs at the distribution end the instability in the overall grid is...
The purpose of this project is to design and develop the robotic surrogate Marksman, which...
Digital Doctor is a Research and Development based Expert System. The purpose it targets t...
The purpose of the project is to produce two robotic arms that will be capable of producin...