Category: Python projects

Welcome to the Python Projects Section.

Find the below some projects we have developed using Python.

  1. Google Finance currency calculator API.
  2. using aprori on website to get relevent data
  3. Game like tictactoe,2048,
  4. Note/content sharing platform for college students
  5. book information parsing tool developed for opencart
  6. AI Crooswords
  7. An algorithm for steganography of multiple heterogeneous files on a single video carrier.
  8. college-administration
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Digit Recognition Python Project

Project Domain: Image processing and Machine learning

Project Title: Digit Recognition

DESCRIPTION:

Digit recognition is one of the active research topics in digital image processing. It is a classic machine learning problem. The goal of this project is to take an image of handwritten digits and determine what those digits are. The principal task in digit recognition is to extract HOG features from the database of handwritten digits and to build a classifier on it. Then we predict the digits of the database using this classifier. To build the classifier we write python scripts.

EXISTING SYSTEM:

The current systems use resource intensive image processing methods and algorithms with varying accuracies and rejections.

PROPOSED SYSTEM:

The proposed system uses efficient pattern classification and machine learning approach to improve overall performance of predicting the digits.

FUTURE EXPANSION:

This digit recognition can be further scaled to achieve big data processing levels.

Hardware and software requirements:

Hardware Requirements:

  • RAM : 1 GB and above
  • OS : Linux, Windows

Software Requirements:

  • Python 2.7
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Smart Traffic Management System Project

Traffic management is the problem that most of the countries are taking special steps. Smart traffic management system project is a hardware and software application which will use latest technologies to calculate traffic and provide information to traffic police for taking steps.

Project category:

Traffic Management System

Project Introduction:

This application is designed by using PLC and SCADA technology.  Compare to existing method, in this project density of vehicles at each lane and their weight and then take required steps to control traffic. This system is useful for managing traffic in highways.

Working:

Sensors will detect weight of every vehicle and if vehicle weight is more than 80 sensors will send signals to PLC , PLC will guide vehicles to move to other lane by sending information to barricading.

Similarly if the weight of vehicle is less than 80 sensors will send message to PLC which will help vehicles to pass to respective LANE.

Download Smart Traffic Management System Project Source Code