unstableV/image_recognization

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Language
Python
Created about 6 years ago
Updated over 2 years ago

unstableV/image_recognization

unstableV

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Stock_Prediction

Using Linear Regression Model to predict the stock price of future stocks.

Jupyter Notebook

titatnic_data-analysis

Interactive-Bot

machine-learning-housing-price

To-Do-List

To-Do-List using react js

credit-card-fraud-detection-using-tensor-flow

coding-question

coding practice

crawler

web crawler by python scrip

codefundo-

Jupyter Notebook

web_scrapping

try to scrap different webpages

dcentralized_game

using ethereum blockchain

video_processing-theft-detection-

Analyzing video footage of any suspicious activity like murder, robber etc. from CCTV cameras installed in the crime scene by taking a particular time frame and retrieving faces who have been spotted by multiple cameras and coming up with probable criminals thus helping in investigation by reducing manual search time and inquiring all the people.

Graduate-System

According to the recent survey more the 10k students used to enroll in European colleges. Students have huge difficulty in identifying the best college catered to their needs and, some may even end up with colleges which are not suitable for them . There is also a chance that they can miss out best colleges. Getting counselors to guide the process is costlier and even after paying huge amount , still there is an issue of Most of the students don't know which college is the best for them so they end up getting very less quality of college as compared to their profile. Many students used to take the help of a counselor and pay them a high amount of money and many times instead of giving a large amount of money many frauds will happen. So we are trying to propose a model which will help students to get the best college without paying any amount of money.Analyzing the different parameters and give students the best efficient results.

Jupyter Notebook

video_processing

Analyzing video footage of any suspicious activity like murder, robber etc. from CCTV cameras installed in the crime scene by taking a particular time frame and retrieving faces who have been spotted by multiple cameras and coming up with probable criminals thus helping in investigation by reducing manual search time and inquiring all the people.