Chat Bot for Granite Online Ecommerce Shop
Chat Bot for Granite Online Ecommerce Shop
PROJECT ID: C#NET26
PROJECT NAME: Chat Bot for Granite Online Ecommerce Shop
PROJECT CATEGORY: MCA / BCA / BCCA / MCM / POLY / ENGINEERING
PROJECT ABSTRACT:
The primary goal of an e-commerce site is to sell goods online. This project deals with developing an e-commerce website for Online Granite Sale. It provides the user with a catalogue of different granites available for purchase in the store. In order to facilitate online purchase a shopping cart is provided to the user. This chatbot ecommerce project has two modules namely, Admin and User. Admin can login and manage labours by adding updating and deleting information of types of labours for Loading, Unloading and Transportation. Admin can also manage products by adding new and deleting unwanted products. Admin can see, view orders and users. Users can register and login using credentials. User can view products and order details; User can also enquire about granite by using chat bot and buy products.
Talking about the project, this is a simple example of AI. The concept here used is AIML. This is an XML version for writing AI codes. Here whenever you put your question, then the system will look for the set of pre-defined questions from the AIML pattern. If it finds questions matching its pattern, then it will return a positive response and will answer. Suppose you ask it for like tell its name, then it will say hey I am ChatBot. But if your question goes out of bound or says out of the range, then it will reply with something different behaving that it does not know what you are asking for it. This whole concept uses the AI and aiml algorithm. It can be beneficial for your websites where users ask for so many things.
SOFTWARE REQUIREMENTS:
FRONT END: ASP.NET
Technologies: C#,
DATABASE: SQL Server,
IIS
Operating System:
Windows XP/7/8/10
HARDWARE REQUIREMENTS:
Processor: Intel
Pentium based system
Processor speed:
250 MHz to 833MHz
RAM SPEED: 1GB
CONCLUSION
Decision Support in Heart Disease Prediction System is developed using Naive Bayesian Classification technique. The system extracts hidden knowledge from a historical heart disease database. This is the most effective model to predict patients with heart disease. This model could answer complex queries, each with its own strength with respect to ease of model interpretation, access to detailed information and accuracy. HDPS can be further enhanced and expanded. For, example it can incorporate other medical attributes besides the above list. It can also incorporate other data mining techniques. Continuous data can be used instead of just categorical data.
HDPS can be further enhanced and expanded. For example, it can incorporate other medical attributes besides the 15 listed in Figure 1.
It can also incorporate other data mining techniques, e.g., Time Series, Clustering and Association Rules. Continuous data can also be used instead of just categorical data. Another area is to use Text Mining to mine the vast amount of unstructured data available in healthcare databases. Another challenge would be to integrate data mining and text mining .
TABLE OF CONTENTS
·
Title
Page
·
Declaration
·
Certification
Page
·
Dedication
·
Acknowledgements
·
Table of
Contents
·
List of
Tables
·
Abstract
CHAPTER SCHEME
CHAPTER ONE: INTRODUCTION
CHAPTER TWO: OBJECTIVES
CHAPTER THREE: PRELIMINARY SYSTEM ANALYSIS
·
Preliminary Investigation
·
Present System in Use
·
Flaws In Present System
·
Need Of New System
·
Feasibility Study
·
Project
Category
CHAPTER FOUR: SOFTWARE ENGINEERING AND PARADIGM APPLIED
·
Modules
·
System / Module Chart
CHAPTER FIVE: SOFTWARE
AND HARDWARE REQUIREMENT
CHAPTER SIX: DETAIL
SYSTEM ANALYSIS
·
Data Flow Diagram
·
Number of modules and Process Logic
·
Data Structures and Tables
·
Entity- Relationship Diagram
·
System Design
·
Form Design
·
Source Code
·
Input Screen and Output Screen
CHAPTER SEVEN: TESTING AND VALIDATION CHECK
CHAPTER EIGHT:
SYSTEM SECURITY MEASURES
CHAPTER NINE:
IMPLEMENTATION, EVALUATION &
MAINTENANCE
CHAPTER TEN:
FUTURE SCOPE OF THE PROJECT
CHAPTER ELEVEN: SUGGESTION AND CONCLUSION
CHAPTER TWELE: BIBLIOGRAPHY& REFERENCES
Other Information
PROJECT
SOFWARE |
ZIP |
PROJECT REPORT PAGE |
60
-80 Pages |
CAN BE USED IN |
Marketing
(MBA) |
PROJECT COST |
1500/-
Only |
PDF SYNOPSIS COST |
250/-
Only |
PPT PROJECT COST |
300/-
Only |
PROJECT WITH SPIRAL BINDING |
1750/-
Only |
PROJECT WITH HARD BINDING |
1850/-
Only |
TOTAL
COST (SYNOPSIS, SOFTCOPY, HARDBOOK, and SOFTWARE, PPT) |
2500/-
Only |
DELIVERY TIME |
1
OR 2 Days (In
case Urgent Call: 8830288685) |
SUPPORT / QUERY |
|
CALL |
8830288685 |
|
help@projectsready.in |
[Note:
We Provide Hard Binding and Spiral Binding only Nagpur Region] |
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