AWS Image Object Detection Project

Integrated AWS cloud infrastructure with web application UI to Upload images and get instant object detection feedback. User registration and Sign-in functionality integrated using AWS Cognito. A serverless lambda function has been triggered based on S3 object event. AWS Rekognition service used to detect objects in images and store details in DynamoDB table. API Gateway, Cognito, SQS used for multi-user accessibility and scalability. Please click and continue this article to understand how I completed this project and follow along.

Mold like a gold, Blend like a Sand.

Data Analytics Engineer, crossing paths in Data Science, Data Engineering and DevOps. Bringing you lots of exciting projects in the form of stories. Enjoy-Love.

Neeraj Somani

Covid-19 - Data Analytics Project.

Covid-19 is a once-in-a-lifetime situation and almost every human being on earth learned something new from this unprecedented situation and changed perspective towards life one way or the other. And this has become the most obvious data source for my data enthusiast out there. Here I also participated in analyzing COVID-19 dataset provided by NYTimes and Johns Hopkins University. Please click and continue this article to understand how I completed this project and follow along.

IMDB Movie Recommendation Engine

IMDB (Internet Movie Database) is an amazon company and it has one of the biggest dataset when its comes down to audio-video entertainment content, either it be Movies, TvSeries, or short films or documentaries. A few days back I came to know about this CloudGuruChallenge that publish in October 2020. The goal of the project is to use any technology tools to analyze data and make some recommendation predictions. In this project I decided to use IMDB dataset to perform movie recommendation. Please click and continue this article to understand how I completed this project and follow along.

“Weather Monitoring System” Dashboard Using Terraform

This is a simple Data Pipeline (ETL) project that collects (E-extract) weather data from OpenWeatherMap using there RestAPI and make necessary Data Transformations (T) and Load (L) it into InfluxDB. Is it really worth just dump some data to a DB and not showing a meaningful purpose of it. Thats where Grafana comes into picture. We are going to use Grafana to build an insightful dashboard. Below picture depicts the same, this is the container architecture and the different layers of abstraction for analytics. Please click and continue this article to understand how I completed this project and follow along.

AWS Polly Integration with Serverless Web Application

In this project we are Building a Serverless website that uses Polly service to convert the text that we put on this website to an mp3 file and further more you can use Alexa skill to read those mp3 files. Two Most important functionality of the website:- The post that you write on the website in the form of text will be saved in the DynamoDB table and later converted to an mp3 file and these mp3 files will be saved to an S3 bucket. Retrieve those posts and mp3 files to display on the website. Please click and continue this article to understand how I completed this project and follow along.

Twitter Sentiment Analysis of Indian Election 2019.

In this 2019 National Election (lok-sabha election) there are 3 major parties participating. Two of them are old player in this game. The ones in “Congress” are from a party that dates back to December 1885, though India’s independence only dates officially to August 1947. There is also theBJP, also known as Bharatiya Janta Party that was established in April-1980. There is one more party,AAP, also known as Aam Aadmi Party that recently got established in November 2012 and garnered a lot of praise in a few parts of India and becoming a great competitor for the other two long-established parties. Every party has chosen their leader, and it is shaping up to be a very interesting competition among them for the election. Let me elaborate on that using this project and analysis twitter sentiments on this election.

Can we predict the Dream House price in Ames, Iowa using Machine Learning?

Every human being once or even more than once in their lifetime dreams about a house which they can call their dream home. Every house is different just like we human beings. The question is: how can we draw on the data we have on the house to predict price of our dream home? In this project, we try to predict the house prices in Ames, Iowa with a hope that it can help future buyer for their dream home. We collected this Ames, Iowa dataset from Kaggle competition. This dataset was originally compiled by Dean De Cock for use in data science education. The technology stack that we are going to use is based on Python. Majorly used libraries are pandas, numpy, matplotlib, seaborn, sklearn, etc.