Name: Hrushikesh Kachgunde
Type: User
Company: AI Engineering @Flipkart
Bio: Machine Learning Engineer | Blogger | Alpha Tester
Twitter: Hrushi_IK
Location: Bengaluru, India
Blog: https://hrushi11.github.io/
Hrushikesh Kachgunde's Projects
Our Submission for the VIIT Hackathon. DevCup 2022.
The model features on the system are all handled by hand gestures. A deep-learning model is used to track the hand and fingers. The tracked fingers then will be made use to generate the click signs and access the other functionalities of the system.
Ready to use data science templates, organized by tools to jumpstart your projects and data products in minutes. 😎 published by the Naas community.
Bird Species recognition is a CNN model which classifies 275 classes of birds with a test accuracy of 98.10%.
All my blogs are stored here.
This repository consists of all the files required for my blogs so that learning becomes easier.
Image Segmentation model that predicts if a person has brain tumor with localizing the tumor on the original image.
This project is about how well can we predict the future sale price of a bulldozer, given its characteristic and previous examples of how much similar bulldozers have been sold for.
This repository deals with building a classification machine learning model which classifies and recognizes the class of butterfly out of the 50 classes it was trained on with a test accuracy of 96.70%
Python bot of control able loop to spam in chats. Works on all kinds of chat systems. Please make sure to consult the victim before using this.
The "Conversational Fashion Outfit Generator" is a cutting-edge initiative that aims to redefine the way users discover and curate personalized fashion outfits. In collaboration with Flipkart, we have created an innovative solution that combines the power of Generative AI and Stable Diffusion techniques to create a seamless and engaging fashion.
A convolutional neural network consists of an input layer, hidden layers and an output layer. In any feed-forward neural network, any middle layers are called hidden because their inputs and outputs are masked by the activation function and final convolution.
This repository is for practicing git and github, making PRs and learning much.
Predicting characters from the Devnagri script. Model built with test accuracy of 98.15% over 13,800 images.
Materials for the Hugging Face Diffusion Models Course
This repo deals with building a dog breed identifier, which predicts the dog breed from 120 unique breeds. This Machine Learning model is trained on 10,000+ dogs and tested again on 10,000+ images.
This repo deals with predicting a given image if it is a cat or dog with CNN and Transfer Learning.
This repo is only for students at DYPIEMR, Pune. In Artificial Intelligence and Data Science branch.
Face detection algorithm to recognize and identify faces with OpenCV.
Extract data from FIR PDFs in a matter of seconds with this web app.
Flower Recognition CNN model which predicts from daisy, dandelion, rose, sunflower, tulip using EfficientNetB0. The test accuracy on random set received was 90%.
This repository is our submission to the Code Odyssey hackathon happening in Feb 2022.
This repo deals with building a CNN model to classify the 262 classes of fruits from the fruits-262 dataset on kaggle.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent