Abhiram Dodda's Projects
Python Package for Airborne RGB machine learning
Eye diseases can be detected using Retinal Optical Coherence Tomography(OCT). The project aims at building CNN on Retinal OCT images dataset.
Django application that allows farmers to book laboratory services and sell products
Website powered with ML and DL models to enhance features for farmers.
The repository is contains implemented graph algorithms
A Flask app for grocery e-commerce
E-Commerce application for groceries with Flask backend and Vue frontend
Java CLI built on swings that performs pixel level operations on images
Java CLI built to store names of medicines and the respective times of intakes to alarm users.
Neural Network for MNIST. Built from scratch using Numpy and Pandas.
A Flask application to create and participate in polls.
Machine Learning model built on Telangana dataset cropped from Indian weather dataset merged with average temperature dataset
Skin diseases can be detected and classified through Deep Learning techniques. In this project Deep CNN network is built on top of EfficientNetB3 for image classification.
WeatherApp created on VueJS. The application extracts weather data from OpenWeather API.