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Hi there 👋

I'm Snehanjan Chatterjee, a Software Dev Engineer at Amazon.

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Languages & Tools 🛠

💻 Coding Profiles

LeetCode  Hackerrank  HackerEarth  CodeChef

👩‍💻 Languages

HTML5  CSS3  Typescript  C#  C  C++  Java 

⚡ Database

MySQL  MS SQL Server 

🚀 Frameworks

Bootstrap  React  Angular  npm  .NET 

👩‍💻 IDE & Tools

Visual Studio Code  Visual Studio  Postman  Git  Azure Devops 

👨👩 Social

ResearchGate  LinkedIn  Gmail 

 

Snehanjan Chatterjee's Projects

appsmith-docs icon appsmith-docs

Mirror of documentation at https://docs.appsmith.com. Raise Pull requests against this repository to update the documentation

biometric-voting-machine icon biometric-voting-machine

I have used Arduino Uno to implement a working model of an autonomous bio-metric voting machine with the idea of considerably curbing rigging.

leetcodesolutions icon leetcodesolutions

Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub)

online-handwritten-bangla-character-recognition-using-frechet-distance-and-distance-based-features icon online-handwritten-bangla-character-recognition-using-frechet-distance-and-distance-based-features

This paper inspects the impact of feature vector produced by Frechet Distance (FD) along with the conventional distance based features to recognize online handwritten Bangla characters. FD based feature computation starts with dividing a character sample into different rectangular zones. Then FD values are computed from each zone to every other zones. In distance based feature extraction technique also a character sample is divided into several segments and distances are measured from a particular segment to all other segments. Feature vectors so produced are experimented on 10000 online handwritten Bangla characters. SVM (Support Vector Machine) classifier produces the reasonably satisfactory recognition accuracy of 98.98% when FD based features are combined with distance based features.

weather-dashboard icon weather-dashboard

A weather dashboard made using Angular and openweathermap API https://snehanjanchatterjee.github.io/Weather-Dashboard/

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