Mihir Sahani - GitHub Profile

Email: [email protected]
Phone: +916297727313
Location: Hall 1, NIT Durgapur

LinkedIn | LeetCode

Education

National Institute of Technology (NIT) Durgapur
- December 2020 - July 2024
- Bachelors of Technology
- Durgapur, West Bengal
- CGPA: 8.0

Skills

Programming Languages: C, C++, Python, SQL, HTML/CSS, Node.js, React.js, Django
Libraries/Frameworks: Scikit-Learn, Tensorflow, OpenCV, Pandas, Matplotlib, Bootstrap
Databases: Oracle Live SQL, MariaDB/MySQL

Certifications

Machine Learning Specialization (1/3) - COURSERA, Stanford University
Meta Frontend Professional Certification (Audited) - COURSERA, Meta/Facebook
Meta Backend Professional Certification (Audited) - COURSERA, Meta/Facebook
Advanced PCB Design Workshop - LOGICZAP NEXTGEN TECHNOLOGIES.
SQL Basics Certification - HACKERRANK
SQL Intermediate Certification - HACKERRANK

Honors & Awards

Robotization Runner Up (Robot making competition) at NIT Durgapur
Pixelate Winner (Image processing competition) at NIT Durgapur
Winner 2x Mathematics Olympiad (International Mathematics Foundation) at School Level
Runner Up Science Olympiad (Science Olympiad Foundation) at School Level
Cleared 2x National Defence Examination and 1x Conferenced.
Second Runner Up Talent Hunt Olympiad (Science Olympiad Foundation) at School Level

Mihir Sahani's Projects

air-paint

This program lets you draw using your fingers while capturing it using your camera and drawing on the screen using it.

basics-of-pentesting

Notes, scripts, everything related to pen testing learning journey

devcon

Devcon is a text based social app that uses React.js as frontend, Djanjo and DjangoRESTframwork as backend and SQL lite as database. The project uses bearer token for authentication shifting to JWT.

invisibility-cloak

An computer vision project in python using OpenCV library to replicate the invisibility cloak.

settlement-tracker

This project uses sentienl sans's R10 images over various bands and tracks human development across the region upto an precision of 10m.

This project uses deep learning to instantly translate sign language gestures into letters and numbers. Its aim is to facilitate communication for the deaf and hard-of-hearing, promote sign language education, and make real-time sign language interpretation accessible through a camera.

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