Abhiram Satpute's repositories

Todo-List-Nextjs-Airtable-Tailwind-Auth0

Developing a JAMstack authenticated Todo List using NextJS, tailwindCSS, Airtable and Auto0 !

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Slack-clone-using-React-

Making a slack clone using React, React Router, Context API (Redux), Material UI, Firebase (Google auth, real-time database, etc.), flexbox, variable CSS, etc..!!

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Netflix-Clone

Making a clone of netflix using React, Firebase, TMDB API, axios, and other techs!

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Spotify-Clone-using-React

P.S. Started this 10 days ago, had compare&pull approval error, now doing manually. Developing spotify clone with login (authentication), Material UI, React Context, with a couple of scopes involved, etc.

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Emoji-Detector-using-ReactJS

Created with CodeSandbox : https://vizni.csb.app/

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ReactJS-Trial-and-Basics-clicks

Created with CodeSandbox

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ReactJS-Tut-on-Codesandbox

Created with CodeSandbox

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ReactJS-Trial-and-Basics

Trying to understand React using online tutorials such as from here https://www.youtube.com/watch?v=KUJsaM-hAjs&ab_channel=TanayPratap .

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ethereum-todo-list

Created a Smart Contract, connected and deployed it on the Blockchain and talk to it using Ganache, Truffle, and other projects. Learnt from the tutorial in the link below:

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truffle

A tool for developing smart contracts. Crafted with the finest cacaos.

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Simple-Speech-Recognition

This project is a simple speech recognition using mic and by calling a speech recognizer API from sources like bing, google, ibm, wit, sphinx and an couple more!

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Custom-NER-using-spaCy3.0

Under progress - trying to implement the custom Named Entity Recognition using spaCy 3.0 but having a few issues in the .spacy , CLI training, and a few other implementations and integrations.

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yt-graphql-react-event-booking-api

Code for GraphQL + React Event Booking API Series: https://academind.com/learn/node-js/graphql-with-node-react-full-app/

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movement-tracking

UP - DOWN - LEFT - RIGHT movement tracking.

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intro-to-dl

Resources for "Introduction to Deep Learning" course.

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COVID19-Analytics

Researching, observing and discovering information regarding coronavirus using data provided through various public domains.

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data-science-interviews

Data science interview questions and answers

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Inception-type-models

Understanding the architecture of inception-type models, i.e., functional models and not traditional sequential models through basic python coding. The architecture structure will also be plotted so as to visualise the flow in an easier way.

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Sports-Data-Analysis

Targeting visualization and in-depth analysis of players and teams using their (numerical and categorical) attributes and personal information in that particular sport.

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Spambase-Spam-Detector

This problem is focused on developing and assessing a spam detection model on a preprocessed dataset, thus this code will be focused lesser on feature engineering and more on the classification metrics and confusion matrices produced to infer how the approach has worked.

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multi-label-multi-class-Dress-Classification

This project is more tutorial-followed because of the availability of the dataset in the tutorial, however some extra approaches and implementations will be done and have already been done to get an understanding of how to create a model that can give multiple labels as its predictions.

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keras_to_tensorflow

General code to convert a trained keras model into an inference tensorflow model

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OpenCV-Basics-and-Projects

Contains all the learnings related to openCV, from basics to implemented projects.

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ML-on-Colab

Application of machine learning algorithms on Google Colab to improve the processing speed and observe the results.

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Machine-Learning-with-Keras

Basic neural network program using keras.. with 150 epochs and showing accuracies after each epoch.

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Spam-Detector-step-by-step

Applying data science to generate a model for Spam Detection in emails using data from enron datasets available at http://www2.aueb.gr/users/ion/data/enron-spam/ .

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Regression-Comparison

A simple program that shows the accuracy difference in different default-parameterized Regressors. The dataset is boston housing price toy-dataset from sklearn.

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