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  • šŸ‘‹ Hi, Iā€™m @Himanshusalagre
  • šŸ‘€ Iā€™m interested in Problem Solving
  • šŸŒ± Iā€™m currently learning React js, Flutter,
  • šŸ“« Connect me on [email protected]

Himanshu Salagre's Projects

client_verification_via_email icon client_verification_via_email

In this the Client verification via Email,email address of user is verified by sending an 6-digits OTP to the user Gmail through SMTP servie and packages. They can verify the Email by Entering same OTP while signing it.Without OTP verification user cannot go to his dashboard.

deep_and_machine_learning_projects icon deep_and_machine_learning_projects

This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.

fintech-open-month-hackathon icon fintech-open-month-hackathon

Investment spot will be a web based platform to connect & support such startups with the investors so they can get good returns on investment and will be a win-win situation for both of them.

resume icon resume

Resume of client build by me!! It consist of basic f HTML5, CSS3 and bootstrap.Here is the direct link:

space_invader_python_game icon space_invader_python_game

space invaders is 2D game made using pygame module in python.This module provides a very simple to use game engine and various stuffs to make a simple GUI for games

student_management_system icon student_management_system

This is basically a database from which one can Add,Edit and Delete a student data. here admin login id :admin & password:admin123. It is created using HTML,CSS,php, and JS one can view it by clicking direct on link given below:

vehicle_detection_and_classification icon vehicle_detection_and_classification

Computer Vision Plays a vital role in traffic management and surveillance systems and has been an active research area in the past years. In systems like these, the detection of vehicles and also classification of the vehicle plays a major role. The datasets are traffic videos of urban environment taken from various cities around the world which were used to train the classifier hence generating a robust classifier.

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