Income Qualification

Last Updated on May 3, 2021

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Created Income Qualification project for Machine Learning Program related to Master program for Data Science by Simplilearn


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Quiz App In Android

Last Updated on May 3, 2021

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§ The “QuizApp” has been developed to override the problems prevailing in the practicing manual system

 

§ This App is supposed to eliminate and in some cases reduce the hardships faced by this existing system. Today internet become reality and usage of internet become very much popular and there is tremendous increase of internet in all over the world for education purpose.

 

§  The QuizApp provides complete functionality of evaluation and assessing student’s performance skills. Quiz Application can lead to error free, secure, reliable and fast.

 

§ The Quizzes will form the backbone of the automated process and will play an important role in  generation of unique sets of questions.

 

The Quiz application  is used for conducting quiz for students or this software can also be used by the company for the recruitment process.

At first, the student is needed to register his/her name along with all the information needed and need to select username and password for the login process. Using this username and password, the student can login into the “QuizApp” App. 

Next procedure is answering the quiz. As soon as the student selects the Category and set, the questions with 4 options will be displayed.

The student has to select any one option and click on next option. This will continue till the end of the question. At the end final result will displayed to user.

Student has facility to bookmark question for further reference.

  • Immediate Results
  • Timer
  • Category wise Question Set
  • Bookmarks
  • Scorecard
  • Authentication using Firebase


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E Commerce Website

Last Updated on May 3, 2021

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The primary goal of an e-commerce site is to sell goods and services online. Online shopping is a form of electronic shopping store where the buyer is directly online to the seller’s computer usually via the internet. A person sitting on his chair in front of a computer can access all the facilities of the Internet to buy or sell the products. Online Shopping System helps in buying of goods, products and services online by choosing the listed products from website(E-Commerce site). 

The Shopping cart is mainly useful for who haven’t time to go to shopping. Shopping cart is a very important feature used in e-commerce to assist people making purchases online. The sale and purchase transaction is completed electronically and interactively in real-time. User can login into eCommerce website, once he logged in then automatically one shopping cart will be created, once user select an item it will add to cart. In case user thinks the selected item is not useful for him, then he can delete that item form the cart.

Shopping Cart feature allows online shopping customers to “place” items in the cart. It Decreases the cost of creating, processing, distributing, storing and retrieving paper-based information. Expands the marketplace to national and international markets.  Upon “checkout” the software calculates as total for the order including shipping and handling postage, packing and taxes, if applicable. Reduces the time between the outlay of capital and the receipt of products and services.

The proposed system helps in building a website to buy, sell products or goods online using internet connection. Enables consumers to shop or do other transactions 24 hours a day, all year round from almost any location. It can be accessed over the Internet. 

Purchasing of goods online, user can choose different products based on categories , online payments , delivery services and hence covering the disadvantages of the existing system and making the buying easier and helping the vendors to reach wider market. It Provides consumers with more choices. Customer can purchase Products Online.

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Car Price Prediction

Last Updated on May 3, 2021

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It is a complete end to end project from starting stage of Data preprocessing till the last stage i.e. Model Deployment. In this project first I have done data wrangling which includes data cleaning phase in order to make our dataset more organized. Some of the common steps which I have included in my data cleaning phase are removing of outliers , handling missing values . After that I split my dataset into training and testing dataset with the help of train_test_split function . After that I have passed my training dataset to train my model , In this case I have used Random Forest Regressor as my model and GridSearchCV for the hyperparameter tuning. GridSearchCV helps us to find out the best parameters for our model which ultimately increases the accuracy of our model. After performing all these operations I have tested my model on my testing dataset and Fortunately my model is producing amazing result . I have calculated my accuracy score with the help of a function named accuracy_score. We can also use confusion matrix, classification report to see our model's performance. Accuracy of my model is 98.5%. Now at the end I deployed my model with the help of my basic web development knowledge. It includes some of the files like pickle file, app.py, requirements.txt. Now If I talk about working of my model It is used to predict selling price of a car by taking some of the features like cost price, km driven, type of fuel etc.

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Government Fund Tracking System Using Blockchain

Last Updated on May 3, 2021

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The main idea behind the project is to track the funds hierarchically i.e from central government to the common man including in this chain. We have considered four hierarchical components which are: Central government, state government, Contractor, resource provider/dealer. In the beginning, the budgets which would get finalized in the house will be uploaded according to their respective category. After funds allocation state government will instigate the required projects by documenting them and will send the document to the central government. Now the Central government will verify the project details and if satisfied, they will grant the project funds to the state government else they can reject the project. After receiving funds from the central government, the state government will open the tenders for the contractor and by proper bidding system the contractor will be chosen for the specific project. As bidding and tender allocation will be carried out by an automation bidding system with no human intervention involved, it would reduce corruption. Government committee will check the amount of work done synchronously and will mark every progress by submitting a brief report to the hierarchical officer, who will add it to the blockchain. In this report the progress can be portrayed in the form of images, videos, written plan of the building or structure, etc. To get the payment the contractor will have to submit a form of his total spendings with proper distribution over the duration. This form details will then be checked by the respective authority of the state government and then will initiate the payment to the contractor. In this way doing work over a period gets paid, this process will repeat until a particular work is being done completely.

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Jeevika Special Purpose Vehicle For Agricultural Transformation (Jspvat)

Last Updated on May 3, 2021

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JSPVAT, a program initiated in 2020 to support the Bihar state government’s rural livelihoods project, JEEViKA, aims to diversify and enhance household incomes and improve nutrition and sanitation for tens of thousands of farming households. JSPVAT has already facilitated an important systems-level partnership between JEEViKA and the World Bank to strengthen the agricultural and livestock market ecosystems in Bihar.

Reaching 50,000 farmers, JSPVAT’s work includes catalyzing key institutional changes to support market linkages and testing innovative private-sector models and approaches for inclusive agricultural transformation. The latter includes digital solutions related to procurement, quality testing, and access to finance and technologies, with farmer producer companies serving as a point for engagement with smallholder farmers. JSPVAT has also designed and supported the implementation of interventions to strengthen market ecosystems for fruits, vegetables, high-value crops, and livestock.

In the very first year, smallholder farmers supported by JEEViKA and JSPVAT engaged in expanded trade with institutional buyers of maize (more than 3,610 metric tons) and fruits and vegetables (210 metric tons) and procured a greater amount of agricultural inputs (more than 220 metric tons). JSPVAT introduced derivative trading on the NCDEX platform, enabling farmers to realize prices 6 to 8 percent higher than before. JSPVAT also facilitated access to public funding for participating farmer collectives—among the first such instances in the country.

In its first year, JSPVAT reached 7.5 million rural women from poor and marginalized-caste households through self-help groups formed under JEEViKA. This has expanded their access to financial services, value chains in the agriculture and nonfarm sectors, and nutrition and sanitation services.

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