mitalibafna4

IT Engineer Full Stack web developer Machine learning Cyber security Ethical Hacking

Pinned Repositories

3d-orange-juice-frontend
Language:HTML0 1 00
Ajax
Language:Jupyter Notebook0 1 00
Alexa-
Python developed model of Alexa . Easy to make and design your own personal Alexa in python.
Language:Python0 1 00
Book-directory
Book directory
Language:JavaScript0 1 00
Cloudex
Language:JavaScript0 1 00
Dashboard
Language:HTML0 1 00
dataset-dashboard
Language:HTML00
Diabetic-Retinopathy-Detection
The project is to develop an application which could take the captured picture processes it and could correctly identify and detect the diabetic level based on the retina image completely offline. It is much needed in a remote areas where there are no muchfacilities, there should be such automated system which could classify the diabetic level based on the retina image without any specialized doctor’s interference.
0 1 00

mitalibafna4's Repositories

mitalibafna4/3d-orange-juice-frontend
Language:HTML0 1 00
mitalibafna4/Ajax
Language:Jupyter Notebook0 1 00
mitalibafna4/Alexa-
Python developed model of Alexa . Easy to make and design your own personal Alexa in python.
Language:Python0 1 00
mitalibafna4/Cloudex
Language:JavaScript0 1 00
mitalibafna4/Dashboard
Language:HTML0 1 00
mitalibafna4/dataset-dashboard
Language:HTML00
mitalibafna4/Diabetic-Retinopathy-Detection
The project is to develop an application which could take the captured picture processes it and could correctly identify and detect the diabetic level based on the retina image completely offline. It is much needed in a remote areas where there are no muchfacilities, there should be such automated system which could classify the diabetic level based on the retina image without any specialized doctor’s interference.
0 1 00
mitalibafna4/Diabetic-Retinopathy-Detection-Webapp
The project is to develop an application which could take the captured picture processes it and could correctly identify and detect the diabetic level based on the retina image completely offline. It is much needed in a remote areas where there are no muchfacilities, there should be such automated system which could classify the diabetic level based on the retina image without any specialized doctor’s interference.
0 1 00
mitalibafna4/Diabetic-retinopathy-web-app-project
The project is to develop an application which could take the captured picture processes it and could correctly identify and detect the diabetic level based on the retina image completely offline.
0 1 00
mitalibafna4/Educational-website
Language:CSS00
mitalibafna4/Instagram-
Language:JavaScript0 1 00
mitalibafna4/mitalibafna4.github.io
Language:CSS0 1 00
mitalibafna4/mitalibafna4.github.io-portfolio
My portfolio
Language:HTML0 1 00
mitalibafna4/final-gerbera-detect-using-image
Language:Python
mitalibafna4/finallll
Language:Python1 0
mitalibafna4/gerbera
Language:Python1 0
mitalibafna4/Gerbera-counting
Language:HTML
mitalibafna4/Gerbera-detection-using-drone-
Language:Python
mitalibafna4/jquery
Language:HTML1 0
mitalibafna4/LP2
Language:HTML1 0
mitalibafna4/LP2exam
mitalibafna4/movie
Language:HTML1 0
mitalibafna4/node
Language:HTML
mitalibafna4/nodeapp
Language:HTML
mitalibafna4/Rana-Modelling-Website
Language:CSS1 0
mitalibafna4/realtime-gerbera-detection
Language:JavaScript
mitalibafna4/realtimee-gerbera-detection
mitalibafna4/video-captioner
1 0
mitalibafna4/WAD-Assignment-
Language:HTML1 0
mitalibafna4/Website-design
Language:HTML