Sarvesh Biwalkar's starred repositories
Hello-World-in-Different-Languages
⭐ You can contribute to this Repository by creating programs to print "hello world" in different programming languages.⭐
handwriting-ocr
OCR software for recognition of handwritten text
Hacktoberfest2023
Make your first Pull Request on Hacktoberfest 2023. Don't forget to spread love and if you like give us a ⭐️
hacktoberfest
Participate in Hacktoberfest by contributing to any Open Source project on GitHub! Here is a starter project for first time contributors. #hacktoberfest
Hacktoberfest2023-Open-source-
Send your valuable codes here
Hacktoberfest2023
Join Hacktoberfest 2023: Contribute to open source, learn, and earn rewards. Beginner-friendly. Explore issues, fork, code, and make a global impact. Let's collaborate!
CP-Codes-HackOctober-Fest-2023
This repository is for beginners who want to contribution in open source HackOctober Fest 2023
DSA_Hacktoberfest2023
This Repo will Accept all the quality Hacktoberfest 2023 Contribution ⚡️✅🎉
doctors-prescription
A doctor's prescription system with handwriting recognition.
Medical-Prescription-OCR
Used for reading medical prescription and coverting it in digital form
Price_Comparison_Website
A PHP based website that provides price comparison over various online shopping website such as Flipkart , Amazon and Snapdeal to provide best price for the same product using web scraping (PHP simple DOM) .
Speed-Estimation-of-Vehicles-with-Plate-Detection
The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected using Haar Cascade Classifier. The model for the classifier is trained using lots of positive and negative images to make an XML file. This is followed by tracking down the vehicles and estimating their speeds with the help of their respective locations, ppm (pixels per meter) and fps (frames per second). Now, the cropped images of the identified trucks are sent for License Plate detection. The CCA (Connected Component Analysis) assists in Number Plate detection and Characters Segmentation. The SVC model is trained using characters images (20X20) and to increase the accuracy, 4 cross fold validation (Machine Learning) is also done. This model aids in recognizing the segmented characters. After recognition, the calculated speed of the trucks is fed into an excel sheet along with their license plate numbers. These trucks are also assigned some IDs to generate a systematized database.
bloodbankmanagement
Blood Bank Management System || Python Django