Dikshita Padte's Projects
To help visually imapired to visualize the objects using audio. Objects were detected using Efficient Det and was further integrated with tensorflow lite. Also the name of the detected object in the form of text was converted into speech using speech API.
π Curated collection of Awesome Python Scripts which will make you go wow. Feel free to contribute. Show your support by β¨this repository.
To create a banking management system using OOPS concept in python.
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.
A plant disease detector (classifier) based on the PlantVillage dataset
Config files for my GitHub profile.
A multi purpose Discord Bot using discord.py
A Library to explore DNA
This repository contains different styled components in html,css,js,jquery which can be used in any website.
Full Machine learning Guide basic to advance
This project aims to classify the images in the given dataset as cats or dogs using convolutional neural network(CNN)
This is my first task of my internship with LetsGrowMore. Firstly in this project I have imported the image and then converted the image into grayscale . Then the grayscale image was converted to negative image and then it was blurred using Gaussian Blur. Finally the dodging method was applied to convert the image into a sketch.
Income Tax Calculation System For A Salaried Person
Learned about various Data Collection and Data Preprocessing Techniques. Applied Data Analysis and Data Visualizations . Worked on various Machine Learning algorithms and Data Science Models . Created a ML model for IPL score prediction.
This repo consist of some of the basics of python and Exploratory Data Analysis based on the Iris Flower Dataset.Futher the prediction and clssification is done using KNN and decision tree classifier.
Conducted the Workshop covering arrays, conditional statements, loops and functions.
This repository would be a kart for all the projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by β¨ this repository.
Learned Different Neural Network Models like Convolutional Neural Network,Artificial Neural Network,etc. Implemented Object Detection Model.Applied Transfer Learning and Deep Learning Techniques. Deployed the model using Heroku.
Learned Different Neural Network Models like Convolutional Neural Network,Artificial Neural Network,etc. Implemented Object Detection Model. Applied Transfer Learning and Deep Learning Techniques. Deployed the model using Heroku.