Automobile Price Prediction

Last Updated on May 3, 2021

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Made machine learning project to predict car price according to their features.

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Air Quality Analysis And Prediction Of Italian City

Last Updated on May 3, 2021

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Problem statement

  • Predict
  • The value of CO in mg/m^3 reference value with respect to the available data. Please assume if you need, but do specify the same.
  • Forecast
  • The value pf CO in mg/m^3 for the next 3 3 weeks on hourly averaged concentration

Data Set Information

located on the field in a significantly polluted area, at road level,within an Italian city. Data were recorded from March 2004 to February 2005 (one year)representing the longest freely available recordings of on field deployed air quality chemical sensor devices responses. Ground Truth hourly averaged concentrations for CO, Non Metanic Hydrocarbons, Benzene, Total Nitrogen Oxides (NOx) and Nitrogen Dioxide (NO2) and were provided by a co-located reference certified analyzer. Evidences of cross-sensitivities as well as both concept and sensor drifts are present as described in De Vito et al., Sens. And Act. B, Vol. 129,2,2008 (citation required) eventually affecting sensors concentration

Data collection

0 Date (DD/MM/YYYY)

1 Time (HH.MM.SS)

2 True hourly averaged concentration CO in mg/m^3 (reference analyzer)

3 PT08.S1 (tin oxide) hourly averaged sensor response (nominally CO targeted)

4 True hourly averaged overall Non Metanic HydroCarbons concentration in microg/m^3 (reference analyzer)

5 True hourly averaged Benzene concentration in microg/m^3 (reference analyzer)

6 PT08.S2 (titania) hourly averaged sensor response (nominally NMHC targeted)

7 True hourly averaged NOx concentration in ppb (reference analyzer)

8 PT08.S3 (tungsten oxide) hourly averaged sensor response (nominally NOx targeted)

9 True hourly averaged NO2 concentration in microg/m^3 (reference analyzer)

10 PT08.S4 (tungsten oxide) hourly averaged sensor response (nominally NO2 targeted)

11 PT08.S5 (indium oxide) hourly averaged sensor response (nominally O3 targeted)

12 Temperature in °C

13 Relative Humidity (%)

14 AH Absolute Humidity.

More Details: Air quality analysis and Prediction of Italian city

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Python Snake Game

Last Updated on May 3, 2021

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This game reminds everyone their childhood memories.

In this snake game, the player has to move the snake to the fruit in order to eat it. The score will increase once the fruit is eaten. Also, the length of the snake will increase if the snake eats the fruit. The game will get over if the snake touches itself.

The turtle and random modules are used in this game project. So as to install these libraries, simply type “pip install turtle” and “pip install random” on the command prompt.

Turtle library allows us to create pictures, diagrams in a virtual form whereas random module gives the value between the given range of it.

There are 3 functions defined in this game which is “change”, “inside function”, and “move” function. In change function, the x-axis and y-axis are defined. In inside function, the logic of the game is written and in the move function, movement to the snake is given.

There are 4 keys mentioned in the code “right, left, up, down”.

If the player presses the right key, the snake will move to right direction, If the player presses the left key , the snake will move to left direction, If the player presses the up key , the snake will move to upward direction, If the player presses the down key , the snake will move to downward direction and if the snake touches itself the game will get over.

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Task-Manager Backend Rest-Api(Node.Js)

Last Updated on May 3, 2021

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Technology Used:

  • Node.js
  • Express js
  • MongoDB


Library Used:

  • jwt (json web token)
  • bcrypt
  • validator
  • sharp
  • multer


General Description:


  • In this project user can create its own tasks.
  • User can manage their tasks according to their preferences.
  • User can edit or delete the particular task and also user can track the status of task (i.e completed or pending).


Usage:


  • In order to use application you should register in an application. You can make it by calling Sign Up API.
  • The password is stored in Encrypted format in database.
  • In Login API we generate an access token using jwt.
  • In order to call create,update,delete API'S we have to pass an access token in header section of the request.
  • If we don't pass an access token then user will got a message 'Please Authenticate'.


Database Structure:


Task:

description : String,

completed :Boolean,

owner : ObjectId,

timestamps :true


User:

name : String,

email :String,

password :String

age : Number,

tokens:[{

token:type:String

}],

avtar : Buffer


API'S:


User:

URL TYPE Description

  • /users/login POST login
  • /users/ POST SignUp
  • /users/me GET Profile
  • /users/logout POST logout
  • /users/logoutall POST logout from all devices
  • /users/me DELETE delete user
  • /users/me PUT Updating user
  • /upload POST Uploading avtar
  • /users/me/avtar DELETE delete user avtar



Task:

URL TYPE Description

  • /task POST Create Task
  • /task GET Getting Task
  • /task/:id PUT Updating Task
  • /task/:id DELETE Deleting Task
  • /users/logoutall POST logout from all devices
  • /users/me DELETE delete user


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Age And Gender Detection

Last Updated on May 3, 2021

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objective :To build a gender and age detector that can approximately guess the gender and age of the person (face) in a picture or through webcam.

Description : In this Python Project, I had used Deep Learning to accurately identify the gender and age of a person from a single image of a face. I used the models trained by Tal hassner and Gil levi. The predicted gender may be one of ‘Male’ and ‘Female’, and the predicted age may be one of the following ranges- (0 – 2), (4 – 6), (8 – 12), (15 – 20), (25 – 32), (38 – 43), (48 – 53), (60 – 100) (8 nodes in the final softmax layer). It is very difficult to accurately guess an exact age from a single image because of factors like makeup, lighting, obstructions, and facial expressions. And so, I made this a classification problem instead of making it one of regression.

For this python project, I had used the Adience dataset; the dataset is available in the public domain. This dataset serves as a benchmark for face photos and is inclusive of various real-world imaging conditions like noise, lighting, pose, and appearance. The images have been collected from Flickr albums and distributed under the Creative Commons (CC) license. It has a total of 26,580 photos of 2,284 subjects in eight age ranges (as mentioned above) and is about 1GB in size. The models I used had been trained on this dataset.

Working : Open your Command Prompt or Terminal and change directory to the folder where all the files are present.

  • Detecting Gender and Age of face in Image Use Command :

python detect.py --image image_name

  • Detecting Gender and Age of face through webcam Use Command :

python detect.py

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''Human Identification And Detection Of Diseases By Extracting Sclera Veins''

Last Updated on May 3, 2021

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Biometric includes the physiological and knowledge based method in that Sclera vein recognition is the one of the methods which is utilized for the most accurate method to identify the person and also detect the diseases.


Many researchers have developed more methods for ID. In this project, firstly have to efficiently partition the eye images into clusters depends on their region of interest(ROI) for that we have apply the segmentation.


Here the k-means clustering method is used to cluster the image and to separate the sclera part from image of the eye. This divides the three cluster sclera, IRIS and around the eye to take the sclera part for the person identification.


Sclera vessel pattern's images are saturated and the organization of vessel patterns is multi layered and also it is quite complex the features of vein from sclera.


In order that enhancement is necessary because the vessel patterns are not prominent in the sclera, so here Gabor filter is used to filter out the unwanted part or noise to extract the feature for the further use here local binary patter is used and classifications can be done to ID person and discover the diseases.

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