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Tanmay Rauth's Projects

amazing-python icon amazing-python

Repository for amazing python mini projects. Few lines of code but amazing stuffs !!!

article-summariser icon article-summariser

Flask API based Machine Learning service which takes the article as input and returns a summary of that articles as output. Implemented using LSTM based Deep RNN architecture and trained on 100k Amazon Food Reviews Dataset. The Model has an accuracy rate of around 97%.

blind-75 icon blind-75

Python solutions with descriptions for all Blind 75 Leetcode Problems

blog icon blog

This is a laravel blog with all basic blog functionalities

distributed-key-values-store-using-raft icon distributed-key-values-store-using-raft

It is implemented to support concurrent requests utilizing Mutex, Channel, and Goroutine. Tested under a simulated environment, which covers the circumstances such as network loss, network partition, and partial cluster down.

ecommerce-microservices icon ecommerce-microservices

Ecommerce microservice architecture implemented using Docker, Flask, Django, MYSQL, RabbitMQ, ReactJS. There is Admin microservice & Product microservice which interact with each other using events via RabbitMQ

image-captioning-service icon image-captioning-service

Implemented using Python and Flickr Img Dataset and inception model. Model is implemented using Encoder Decoder Logic and CNN-RNN ecoder.

kaggle-ml-problems icon kaggle-ml-problems

Solution to kaggle competition on titanic survival prediction using Machine learning

resume-analyser-using-ml icon resume-analyser-using-ml

It parases the resume and categorises the resume to a particular category(ML, Backend, Data Science, Blockchain) based on the keywords used in it. These keywords are passed into the trained model to identify the category.

twitter-sentiment-analysis icon twitter-sentiment-analysis

It fetches the tweet from Twitter using the TweePy API. Using those fetched tweet it identifies the sentiment polarity of it using TextBlob package.

video-conferencing-application icon video-conferencing-application

Implemented using Flask, Socket IO Connection, webRTC, HTML, CSS, JavaScript. The users connects to each other in a peer to peer mesh network using WebRTC. There is no need of central server during the call it(Signal Server) is only used during initialisation of call.

webcrawler icon webcrawler

A Python based web crawler that crawls the links and generate a file that will store data related to those links. Multithreading features is used to implement multiple bots to work at same time and gather results.

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