Sivanesh B's starred repositories
Disease-Prediction-using-Django-and-machine-learning
**A end to end project - Powered by Django and Machine Learning** - This project aims to provide a web platform to predict the occurrences of disease on the basis of various symptoms. The user can select various symptoms and can find the diseases and consult to the doctor online.
College-Management-Andriod-Application
To overcome the problems of notices and manages the student and teachers data offline this android application is created. Key features of this application are: - News Feed of College, Check Mid Semester/ PUT results, Time table of next class etc.
DhakaCatering-Frontend
Dhaka Catering - a catering service provider site
GPM-Government-Polytechnic-Mumbai-App
An Android App is designed to enhance the college experience. It simplifies notice circulation, note sharing, and attendance management, ensuring students stay informed and organized, all through their Android devices.
Diabetic-retinopathy-Optic-loss-detection-using-OCT-image-through-DL
Diabetes affecting the eyes is known as Diabetes retinopathy.Diabetic retinopathy is a mellitus disease that affects blood vessels in retina .This requires an immediate treatment to keep remaining vision from damage .To classify normal and abnormal retinal images into four stages of DR with help of classification algorithms and to apply Deep learning(DL) model to the field of medical diagnosis in order to lessen the time and stress undergone by the opthalmologist and other members of team in screening ,diagnosis and treatment of diabetic retinopathy .The optical coherence tomography(OCT) images of diabetic retinopathy dataset is used for training, validation and evaluation using deep learning technique.
classmanager-student-teacher-portal
A Student-Teacher Portal built using HTML, CSS, Python and Django
College-Enquiry-Chatbot
The College Enquiry Chatbot project is built using machine learning algorithms. The User can query any college-related activities through the system. The answers are appropriate to what the user queries. The user does not have to personally go to the college for enquiry. The user can also give their suggestions through the suggestion box. The system replies using an effective Graphical User Interface which implies that as if a real person is talking to the user.