Price controlling system

Price controlling system is basically use for reducing business expenses to increase profits.In this system admin will send the price list of products(flour,rice etc)to all shopkeepers and companies and they will have to sell products according to that price list.The work of sending prices to shopke

Project Title

Price controlling system

Project Area of Specialization

Artificial Intelligence

Project Summary

Price controlling system is basically use for reducing business expenses to increase profits.In this system admin will send the price list of products(flour,rice etc)to all shopkeepers and companies and they will have to sell products according to that price list.The work of sending prices to shopkeeper and companies will be done through APIs.Like nowadays some shopkeepers are selling flour of 70 rupees per kg where some are selling same flour of 80 and some of 50 so this system will help in controlling these price differences and they will have to sell the product at same price.User will have the access to make complain against that shopkeeper.

This system will have four modules admin, user , shopkeeper and companies.Admin can add , edit and delete the companies and shopkeepers who sell products like wheat, rice ,flour and grain etc.Only admin will be able to send final price list to all companies and shopkeepers.And can review the complains.User will be able to make complain against that shopkeeper through chatbot(using library Single R) and view all products prices.The it will have separate companies and shopkeeper modules where they can add products and there prices.And they will also add that how many products sell per day with there prices.

Project Objectives

Like the user went to any shop and he found that shopkeeper is selling that flour of 90 rupees and the another shopkeeper is selling that same flour of 100 rupees so he will make a complain against that shopkeeper if the complain is made 3 times by 3 different users for that same shopkeeper so his system will be blocked and that complain will be send to police of that area and they will fine that shopkeeper.

Project Implementation Method

First we started from front end where we have use react.js for web application then we have use  asp.net core for backend and use API to connect our front end.We have use Naive Bayes algorithm for our chatbot where user will register there complains against the shopkeeper and user app will be mobile app on react native.Dashboard will have 3 modules admin, shopkeeper and  company.Shopkeeper real data will be collected and company data also and dataset will be trained for AI chatbot.

Benefits of the Project

It can be use on large and small scale both.It will help government to improve the economy system of country by controlling the prices of products.It will help to keep check on shokpeepers and companies that they are selling products on same prices and according the provided list of product prices.

Technical Details of Final Deliverable

It will have login/sign ,admin module who can edit , delete and add shopkeeper,companies and see user complains and action regarding it.Company will add,update product lists with there prices and send to admin.Shopkeeper will view the products list and add the.AI chatbot will be there where user will reguster complains and see the status of there complains and see shopkeeper details it will be mobile app.

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Quality Education, Decent Work and Economic Growth, Reduced Inequality, Partnerships to achieve the Goal

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com