Author Archive: Yugesh Verma

Professional Data scraper for web .Net Software

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Data Excavator – powerful C# server for crawling, scraping and saving any data from websites. With the data excavator, you simply can scrape any data from any website and export it into XLSX / CSV / MySQL / JSON. It’s a really simple and fast solution with minimal entry point for everyone who want to mine data and don’t want to read many of tutorials.

Scraping process working based on .css and x-path selectors. Application includes crawling server, grabbing server (scraping server) and IO server. Each server written in pure multi-threaded model. Do you have 8-cores processor? Good. May be, 12-cores? Very good! The data excavator is directly depended from your PC quality – he can works at powerful servers. In general, with a good hardware, you can boost the data excavator to scraping websites in “monster-mode”, and make 100, 500, 1000 scraping requests per second. Do you really want to making professional data mining? Ok, then just use the Data excavator and forget about other ways to mine data. Our solution is the really fast native server, written with pure quality and with the best specific algoritms.
Most of existing data scraping solutions from competitors works pretty linear – you must do every scraping step yourself with browser plugin. Alternatively you must to use page-to-page switching with pressing “Scrape data” magic button. Of course, there is a lot of professional data-mining solutions with high price and original quality. But there is not so many good solutions with good price and performance.

The Data Excavator can be used in most of situations when you need to extract any-typed data from any website. May be, you want to create a e-commerce project and you search for a goods data source? May be you want to build a service for prices comparing? May be you are a big data specialist and must prepare some data set for analysing? Any task in data scraping that you can imagine you can solve with the Data Excavator application. For example, take a look at how well our program manages to extract data from the Aliexpress website. We simply take any page and sequentially extract all data from it. You don’t need any settings – we have a ready-made configuration.

What are the key differences between our application and others? We offer a complete scraping server. It literally does everything you need to extract data, from multiple settings and automatic .css selectors, to exporting data on the fly. Based on our application, you can create large systems for automatic data scraping and analysis. Our application includes many comments on the source codes. You won’t have any trouble understanding the interface structure and calls to system libraries. Our main pride is multithreaded scraping. We have made the application parallel in everything that was possible. You can create multiple projects and extract data from multiple sites simultaneously. Each project has its own thread pool (oh yes!) which can be increased or decreased. Each project has a separate thread pool for scanning pages, and a separate thread pool for parsing downloaded pages.

Our application is based on the Chromium Embedded Framework (CEF) – that is, it has a full-fledged Chromium browser built into it. This allows you to extract data from any site, even those where content is not immediately downloaded or requires a login. This fundamentally distinguishes us from our competitors – our application is suitable for scraping almost any site.

How it works

Our application is written in C#. Yes, it’s a full C# (.NET) scraping server. We used a multi-threaded model in order to extract data from any site as fast as possible. Our application supports authorization and interaction with sites via JS. We try to make the interface simple, under which there is a fairly powerful engine.

What tasks you can solve?

  1. Scrape any data from any e-commerce websites, like: amazon, ebay, aliexpress, walmart and many others.
  2. Scrape any data from any social network: facebook, twitter, instagram, linked in and others.
  3. Scrape any data from any cryptocurrency exchange website.
  4. Scrape any data from any supplier website.
  5. Export of scraped data: .xlsx / .xls / .json /.csv and others.

Export of results

Once you have collected data from some site, you can export it. We support export in xlsx, csv, json, mysql formats. We write text data into a file and place images from the site in a folder next to the file. These images are linked to the data via the “images” column in the table, or via the corresponding parameter in the JSON object (depending on the export format you choose).

Special: working with pictures and BLOB data

Our system is able to work with images and other binary files. You can extract literally any information from the target page – images, media files, binary data and so on. Even if the image is packaged in the data:[blob] format, the system will correctly process it. All images are stored in files on your hard drive. When exporting, we collect the archive, which contains the exported data, as well as a set of images.

App modules and libraries

Our scraper is written in C#, platform .NET Framework. It includes the following modules and libraries:

  1. CEF (Chromium Embedded Framework)>
  2. CEFSharp – connector between C# and CEF
  3. EPPlus – working with Excel
  4. RestSharp – working with remote calls ($_GET / $_POST)
  5. ExcavatorSharp – library for parallel crawling and scraping
  6. HtmlAgilityPack – parsing data from DOM
  7. Newtonsoft.JSON – packing data into JSON format
  8. log4net – data logging

Please note that this is not a magic bullet that will automatically google, find the sites you want and extract data from them without your participation.

As a minimum of knowledge you should understand how .css-selectors or xpath work. You should also be familiar with general web data extraction skills such as proxying, $_GET and $_POST queries, page scanning management through templates and regular expressions.

Also, if you want to extract data to fill your site, you must understand that the system scans the data and then exports it to some format, or sends it via some http(s) link. The system does not know how to automatically insert data into your site.

Additional options:

Fully free support! We are literally just entering the market and recruiting an audience for our solution. We went crazy and laid out the source codes for our application. If you want to build a solution for data scraping based on our experience, we will be glad to advise you!

Features:

  1. Pure multi-threadeded scraping (you can scrape many different websites in parallel)
  2. Multithreaded crawling – get data from website in parallel mode
  3. Browser-engine crawling – parse data from downloaded pages in parallel mode
  4. Support for multiple proxy servers
  5. $_GET and $_POST user args – download pages with set of args
  6. Dynamic content crawling – get content created with JS, ActiveX and other. Wait for AJAX calls
  7. Interaction of user JS-code with pages of the site
  8. Robots.txt ans Sitemaps support
  9. Pages reindexing support
  10. User-defined crawling behaviors
  11. Respect or disrespect for selected links
  12. Analysis of robots.txt under the selected user agent
  13. Multi-dimensional data extracting
  14. Multithreaded data extraction
  15. Exporting data: .xls, .xlsx, .csv, .sql, .json
  16. Exporting data online via HTTP url
  17. Overview grabbed data into UI
  18. Import&Export projects settings
  19. Project settings testing on specified page
  20. Grab only links from specified page (if you want)
  21. Project performance metrics board
  22. Forcing specified links reindexing
  23. Grabbing website links administration panel
  24. Projects interactive dashboard
  25. Supports attributes downloading – blobs, images

Starter guide:

You can use our application both for simple data scraping and for creating your own applications. If you want to simply extract data from a certain site – use Setup and install the already assembled version. If you want to develop – use the Visual Studio project.

How it works for end-user:

  1. Create new project and complete project settings (or use default settings set)
  2. Specify a set of links to scraping
  3. Start project
  4. Wait while application will scrape specified links
  5. Export data to preffered format, like a .xls / .xlsx /.csv / .json

How to create new project (less then 3 minutes):

  1. Click on “New project (express)”
  2. Complete target website address
  3. Click on “Auto detect .CSS-selectors”
  4. Click on “Create new project”

DONE! System will automatically detect .CSS selectors and set all settings to default values.

What scraping tasks can I solve with the application?

With our C# scraper you can extract data from most well-known sites. Basically, it doesn’t matter what the site looks like or how it displays the data. Even if a site requires a login and password, or displays dynamic content with a delay – we can still extract data from its pages. You can scrape data, for example, from the following websites:

  • Amazon.com
  • Walmart.com
  • Aliexpress.com
  • Ebay.com
  • Google.com
  • Craigslist.org
  • Sears.com
  • Kroger.com
  • Costco.com
  • Google.com
  • Bing.com
  • Wikipedia.org
  • Nytimes.com
  • Nypost.com
  • Washingtonpost.com
  • Wsj.com
  • Hr.com
  • Iherb.com
  • And much more!

At your disposal is a ready-made library of standard projects. No need to deal with anything – just use the ready-made settings from the list!

Requirements for data scraper usage:

  • VC++ 2019 Redistributable
  • .NET Framework 4.7.2
  • X64 processor (because most of scraping tasks uses 1Gb of RAM as minimum)
  • Free space on HDD (1Gb+)
  • Windows 7, Windows 8, Windows 10
  • IDE: VIsual Studio 2019 / Developers only

For Live Demo & Enquiry  :

Call / Whatsapp : +916263056779

Email : official@projectworlds.in

Script Come With :

  • Free Installation support
  • Free technical support
  • Future product updates
  • Quality checked by PROJECTWORLDS
  • Lowest price guarantee
  • 6 months support included

Logistics ERP using ASP.NET Core

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Logistics ERP is a completely integrated Asp.Net based CRM/ERP solution for Maritime Transport, Shipping and Logistics companies. It’s a software suite that assures smooth Administration and Management of various logistics management activities. Logistics ERP furnishes entire Logistics Management Information System. This is your one stop destination for everything about the Logistics ERP – covering everything from initial setup to advanced customization and API integration.

Logistics ERP has the following core modules and features:

  1. Employee Management
  2. Client & Suppliers Management
  3. Payroll Management
  4. Multiple Companies.
  5. Accounts Management
  6. Agency & Freight Management
  7. Inventory Management
  8. Ticketing System

Technologies

  1. Microsoft SQL Server
  2. .Net Framework 4.7.2
  3. ASP.NET C# WebForms
  4. Client-Server Architecture

System Requirements

  1. Microsoft SQL Server 2008R2 or higher for the database
  2. IIS 7 or higher for hosting the web application
  3. .Net Framework 4.7.2 or higher to run the application

Manuscript Peer Review System using ASP.NET Core

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The Manuscript Peer Review System is a web-based platform designed to streamline the process of reviewing and evaluating scholarly manuscripts submitted for publication. This system aims to facilitate efficient and transparent peer review, ensuring the quality and credibility of the published content in academic and research journals. It provides a common platform for authors, reviewers, and editorial members to submit, review, and track manuscripts or research papers.

Key Features:

The Manuscript Peer Review System offers a range of features to enhance the peer review process:
» Different Editorial Categories: The system allows for the categorization of manuscripts into different editorial categories, making it easier for reviewers and editorial members to find relevant submissions.
» Reviewer Based on Specialization: Manuscripts are assigned to reviewers based on their specialization, ensuring that experts in the field evaluate the content.
» Double-Blind Review Applied: The system supports double-blind review, where the identities of both the authors and reviewers are kept anonymous, ensuring unbiased evaluations.
» Efficient Submission Management: Authors can easily submit their manuscripts through the system, ensuring a smooth and organized submission process.
» Seamless Reviewer Assignment: Reviewers are assigned to manuscripts seamlessly, ensuring timely evaluations and reducing administrative burden.
» Preliminary Desk Checks: The system allows for preliminary desk checks to ensure that the submitted manuscripts meet the basic requirements and guidelines.
» Revision Management Workflow: Authors can submit revisions to their manuscripts, and the system tracks and manages the revision process efficiently.
» Effective Editorial Decision: Editorial members can make informed decisions based on the evaluations and recommendations provided by the reviewers.
» Automated Notification System: The system sends automated notifications to authors, reviewers, and editorial members at various stages of the peer review process, ensuring timely communication.
» In-app Messaging for Communication: The system provides an in-app messaging feature, allowing authors, reviewers, and editorial members to communicate and discuss the manuscripts within the platform.
» Support for Supplementary Materials: Authors can submit supplementary materials, such as datasets or additional files, to support their manuscripts.
» Comprehensive Search Functionality: The system offers a comprehensive search functionality, allowing users to easily find and access manuscripts based on various criteria.

Tools and Technology Used:

The Manuscript Peer Review System is built using the following tools and technologies:
» Language: C#
» Framework: ASP.NET Core 7
» UI Project Type: ASP.NET Core Razor Pages
» Authentication/Authorization: Identity Core
» ORM: Entity Framework, Dapper
» UI Framework: Bootstrap, AdminLTE
» Database: SQL Server Express 2019
» IDE: Visual Studio 2022

Requirements:

To use the Manuscript Peer Review System, you will need the following:
» ASP.NET Core 7
» SQL Server Express 2019
» Visual Studio 2022
rel="nofollow">User Manual

What You Will Get:

» Full Source Code with Visual Studio Solution
» Database Script in SQL Express 2019
» Project Documentation

Summary:

With the Manuscript Peer Review System, you can streamline the peer review process for scholarly manuscripts, ensuring efficient and transparent evaluations. Experience the benefits of a web-based platform designed specifically for the needs of academic and research journals.

For Live Demo & Enquiry  :

Call / Whatsapp : +916263056779

Email : official@projectworlds.in

Script Come With :

  • Free Installation support
  • Free technical support
  • Future product updates
  • Quality checked by PROJECTWORLDS
  • Lowest price guarantee
  • 6 months support included

Real Clinic Hospital Management System .Net

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Real Clinic Hospital Management System (RCHMS) was developed to solve the complications of managing all the paperwork of every patient associated with the various departments of hospitalization with confidentiality. RCHMS provides the ability to manage all the paperwork in one place, reducing the work of staff in arranging and analyzing the paperwork of the patients. RCHMS comes loaded with many functions to:

  1. Maintain the medical records of the patient
  2. Maintain the contact details of the patient
  3. Keep track of the appointment dates
  4. Save the insurance information for later reference
  5. Track bill payments, and a lot more.

Advantages:

  1. Time-saving Technology
  2. Improved Efficiency by avoiding human errors
  3. Reduces scope for Error
  4. Data security and correct data retrieval made possible
  5. Cost effective and easily manageable
  6. Easy access to patient data with correct patient history
  7. Improved patient care made possible
  8. Easy monitoring of supplies in inventory
  9. Reduces the work of documentation
  10. Better Audit controls and policy compliance.

Increased Data security:

The patient data can be kept a hundred percent safe by using HMS in your hospital. It can be made accessible by only a limited amount of authorized personnel. With HMS, all the data is stored on a server or cloud and kept safe by just securing the login information safe.

Improve Visibility and Transparency:

Hospital Management System (HMS) improves the visibility and transparency in the complete management process and in all records.

Streamline Accurate Reporting:

It helps in streamlining the accurate reporting with the help of updated and accurate records.

Improved Quality Control:

Hospital Management System improves the quality control on the products and services of the hospital.

Improved Management Visibility:

It also improves the management visibility of hospital, all information, and data regarding the patient, doctor and medicine could be seen by any department easily.

Ease to Access System Facilities:

Hospital Management System makes it easy to get access to the management system facilities for the authorized users and keep it safe from unauthorized users.

Cost Effective:

HMS not only saves time in the hospital but also is cost-effective in decreasing the number of people working on the system of manual entry of data and paperwork. The implementation of His will decrease the human intervention into the system thereby avoiding human-caused errors.

Every hospital has different needs, analyze what is best for your requirement and install the apt HMS system.

It also comes with:

  1. Clean Code
  2. Full Source Code
  3. Modularized Structure for Easy Customization & Integration
  4. User Rights Control
  5. 24/7 Support
  6. Regular Updates

Requirements

  1. Windows 7 or higher
  2. Microsoft SQL Server 2017 or higher
  3. Visual Studio 2017 or higher
  4. .Net Framework 4.7.2 or higher
  5. Crystal Reports for Visual Studio

Business Management ERP System .net

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Leave traditional management systems behind. Our business management enterprise resource planning (ERP) system has evolved to become an essential business solution for managing every aspect of your business, from HR to financial information.

Traditional ERP systems often don’t support the needs of modern, growing businesses. It can take years for a company to see a return on investment with traditional management systems. And when glitches or problems happen, many organizations struggle to find the support needed to resolve the issue.

It is for this very reason why we’ve taken traditional ERP to the next level with our strategic business management ERP software.

This business management software gives you a complete overview of your internal operations from one place, bringing together all the different parts of your business.

Our business management system gives you the tools you need to run a successful company. You’ll find scheduling, resource management, and operations management tools to collect data on every area of your business. You gain instant visibility into areas of your company that need improvement with our software technology.

Having this information at your fingertips enables you to cut costs by eliminating unnecessary manual complicated systems. From workflow management, production and warehousing to day-to-day operations, our integrated business management system gives you crucial insights and streamlines your business processes for a quicker and more efficient delivery, while letting you stay up to date on any changes within your company.

Features:

  1. Easy Deployment, Integration and Customization.
  2. 100% Dynamic Business Management System.
  3. Fully responsive design for any device
  4. Clean Code
  5. Full Source Code
  6. Simple but Powerful Dashboard Panel
  7. Day Books
  8. POS
  9. Voucher Register
  10. Ledger Reports
  11. Bill wise Ledger
  12. Monthly Ledger Summary
  13. Group Summary
  14. Outstanding Receivables
  15. Outstanding Payables
  16. Customer Outstanding
  17. Vendor Outstanding
  18. Trial Balance
  19. Balance Sheet
  20. Profit & Loss A/c.
  21. Vendor records management
  22. Check printing
  23. Payment date calculation
  24. Advance payment scheduling
  25. Purchase order
  26. Customer accounts management
  27. Invoice creation
  28. Sales attributions
  29. Recurring invoices
  30. Sales & Inventory Management
  31. Project Management
  32. Barcode Generator (UPC, EAN-8, Code 39, 128, JAN-13 and many more)
  33. Balance sheet
  34. Profit and loss
  35. Price management
  36. Other features
  37. Ability to add Multiple Accounts to keep track of income & expense.
  38. Can Scale up to huge amounts of Data without affecting Performance.
  39. Easy search filtering by date range, category, account, barcode etc.

System Requirements

  1. Microsoft SQL Server – 2012 or higher recommended
  2. Visual Studio – 2017 or higher recommended
  3. Crystal Reports for visual studio and runtime engine
  4. Microsoft Excel for importing or exporting data

For Live Demo & Enquiry  :

Call / Whatsapp : +916263056779

Email : official@projectworlds.in

Script Come With :

  • Free Installation support
  • Free technical support
  • Future product updates
  • Quality checked by PROJECTWORLDS
  • Lowest price guarantee
  • 6 months support included

GST Billing Software With Full Source Code

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It’s Desktop application. Support Multiple PC. Get File with Source Code Feature and Well documantation with database. It is amazing Software & latest Gst Invoice design included, It’s user friendly. You can use this Accounting Software lifetime without and With any permit or license.

THIS IS SUITABLE FOR

  1. Retail Shop
  2. Wholesale Shop
  3. Textile
  4. Supermarket
  5. Industries

FEATURES :

  1. User Management System
  2. Product Master ( Item Name, HSN Code, UOM, Category & Sub-Category Included, Tax Slab, Sale Price, Purchase Price, Stock)
  3. Account Management (Customer, Supplier, Bank Account, Capital account, Cash-In-Hand, And Many More…)
  4. Sale Invoice Management(Sale Challan, Sale Return)
  5. Purchase Invoice Management(Purchase Challan, Purchase Return)
  6. Stock Management and Add Opening Stock Editor.
  7. Quick Payment Management
  8. Quick Receipt Management
  9. Bank Entry
  10. Manual Invoice
  11. Sale / Purchase Register
  12. Cash / Day Book
  13. Outstanding Analysis (Payable, Receivable)
  14. Journal Voucher
  15. GST Sales / Purchase Report
  16. Customer Report
  17. GST TAX Report
  18. Item Stock Report
  19. Support Multiple PC
  20. Secure Database System ( Backup & Restore Automatically)

Requirement

  1. Access Database 2007 – up to
  2. Ms access Runtime 2007
  3. CR Runtime for Crystal Reports
  4. Windows xp, 7 , 8, 8.1 and 10 ( Operating System )

For Live Demo & Enquiry  :

Call / Whatsapp : +916263056779

Email : official@projectworlds.in

Script Come With :

  • Free Installation support
  • Free technical support
  • Future product updates
  • Quality checked by PROJECTWORLDS
  • Lowest price guarantee
  • 6 months support included

Student Result Management System Node.Js and Mysql Project

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Student Result Management System (SRMS) provides a simple interface for the maintenance of student information. It can be used by educational institutes or colleges to maintain the records of students easily. The creation and management of accurate, up-to-date information regarding a students’ academic career are critically important in the university as well as colleges. Student information system deals with all kinds of student details, academic-related reports, college details, course details, curriculum, batch details, placement details, and other resource-related details too. It tracks all the details of a student from day one to the end of the course which can be used for all reporting purposes, tracking of attendance, progress in the course, completed semesters, years, coming semester year curriculum details, exam details, project or any other assignment details, final exam result and all these will be available through a secure, online interface embedded in the college’s website. It will also have faculty details, batch execution details, students’ details in all aspects, the various academic notifications to the staff and students updated by the college administration. It also facilitates us to explore all the activities happening in the college, Different reports and Queries can be generated based on vast options related to students, batch, course, faculty, exams, semesters, certification, and even for the entire college.

Features :

  • Add Student Records
  • Maintenance of student records
  • Searching student records
  • Delete Student Records
  • Update Student Records
  • View Student Records

System Requirement:

Technologies Used:

Front End (Designing):

  1. HTML
  2. CSS
  3. Handlebar

Client side scripting:

  1. JavaScript
  2. jQuery
  3. Bootstrap

Back End:

  1. Runtime – Node JS
  2. Database – MySQL

Software Requirements:

  1. Operating system : Windows 7/8/10/11
  2. Node 17.8.0
  3. APACHE HTTP Server

Hardware Requirements:

  1. Intel Core i3 processor or higher
  2. 512 MB Ram or Higher
  3. 20 GB HDD or Higher
  4. Network Connectivity

Download Source Code

Campus Recruitment Prediction with Source Code Python

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This project aims to predict the salary of students in campus recruitment using a dataset named train.csv. The dataset contains the following columns: sl_no, gender, ssc_p, ssc_b, hsc_p, hsc_b, degree_p, degree_t, workex, etest_p, specialisation, mba_p, status, and salary.

Table of Contents

  1. Introduction
  2. Project Structure
  3. Data Processing and Modeling
  4. Flask Web Application

Introduction

In this project, we analyze the provided dataset and build a predictive model for campus recruitment. We first perform data processing and exploratory data analysis (EDA) using a Jupyter Notebook (notebook.ipynb). Next, we implement a Flask web application (app.py) to deploy the trained predictive model and allow users to make predictions based on the provided input.

Project Structure

  1. train.csv: Dataset containing recruitment-related information.
  2. notebook.ipynb: Jupyter Notebook containing data preprocessing, EDA, and model selection.
  3. app.py: Flask web application for model deployment.
  4. templates/: Directory containing HTML templates for the web application.
    1. index.html: Homepage of the web application.
    2. prediction.html: Page displaying predictions.
  5. requirements.txt: File listing all the necessary libraries for running the web app.
  6. model.pkl: Pickled file containing the trained predictive model (Ridge model).
  7. scaler.pkl: Pickled file containing the scaler used for standardization.

Data Processing and Modeling

In the Jupyter Notebook (notebook.ipynb), we perform the following steps:

  1. Import necessary libraries.
  2. Load the dataset (train.csv).
  3. Preprocess the data by dropping unnecessary columns and handling missing values.
  4. Visualize data through various plots and charts.
  5. Perform one-hot encoding for categorical variables.
  6. Split the dataset into training and testing sets.
  7. Standardize the data using StandardScaler.
  8. Explore and select the best scoring model using GridSearchCV and ShuffleSplit.
  9. Save the best-fitted model and scaler using pickle (model.pkl and scaler.pkl).

Flask Web Application

The Flask web application (app.py) is created to deploy the trained predictive model. It allows users to input their information and receive predictions regarding their placement status and expected salary. The web application consists of two main HTML templates:

  • index.html: The homepage where users input their details.
  • prediction.html: The page displaying the predicted placement status and salary.

To run the web application, use the libraries specified in requirements.txt.

Python runtime : 3.11

Download Source Code

Ai Mental Health Chatbot project python with source code

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This is an AI-powered bot designed to provide emotional support and assistance to individuals struggling with mental health issues. It can help individuals access mental health resources, offer guidance and support. With the integration of Language translation, this chatbot will be very efficient as it will be able to break the language barriers.

The creation of a chatbot capable of language translation, holds transformative potential, acting as a catalyst in overcoming language barriers for effective communication and information exchange. Its impact spans diverse sectors, including: healthcare, commerce, and governance etc. offering a versatile solution to bridge linguistic gaps.

https://codeaxe.co.ke/multilingobot/

Technology Used in the project :-

  1. We have developed this project using the below technology
  2. HTML : Page layout has been designed in HTML
  3. CSS : CSS has been used for all the desigining part
  4. JavaScript : All the validation task and animations has been developed by JavaScript
  5. Python : All the business logic has been implemented in Python
  6. Flask: Project has been developed over the Flask Framework

Supported Operating System :-

  1. We can configure this project on following operating system.
  2. Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install
  3. Python 3.8, PIP, Django.
  4. Linux : We can run this project also on all versions of Linux operating systemMac : We can also easily configured this project on Mac operating system.

Installation Step : -

  1. python 3.8
  2. command 1 - python -m pip install --user -r requirements.txt
  3. command 2 - python app.py

AI Healthcare chatbot project python with source code

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This is a Python-based project for dealing with human symptoms and predicting their possible outcomes. The primary goal of this project is to forecast the disease so that patients can get the desired output according to their primary symptoms.

The Healthcare AI Chatbot is an innovative technology solution designed to provide patients with easy access to medical advice and care. The chatbot utilizes artificial intelligence algorithms to identify and diagnose symptoms, provide basic medical advice, and direct patients to appropriate healthcare services. The goal of this project is to create an intelligent and user-friendly chatbot that can assist patients in identifying their symptoms, provide medical advice, and help them access healthcare services, including telemedicine consultations.

The Healthcare AI Chatbot will be designed to be accessible to anyone with a smartphone or computer. Patients will be able to interact with the chatbot via a web-based or mobile-based interface, allowing them to ask questions, describe their symptoms, and receive medical advice. The chatbot will use natural language processing algorithms to understand the patient's questions and provide appropriate responses.

Technologies Used:

Natural Language Processing (NLP): NLP is a branch of artificial intelligence that enables computers to understand and interpret human language. This technology can be used in developing an AI chatbot that can understand patient queries, provide appropriate responses, and direct patients to appropriate healthcare services.
Machine Learning (ML): ML is a type of AI that enables computers to learn and improve from experience without being explicitly programmed. ML algorithms can be trained on medical data to enable the chatbot to diagnose medical conditions and provide appropriate medical advice.

Big Data Analytics: Big data analytics can be used to analyze large datasets of medical information, including symptoms, diagnoses, and treatments. This data can be used to train the chatbot's algorithms and improve its accuracy and effectiveness.

User Interface Design: User interface design is an important aspect of developing an AI chatbot that is easy to use and understand. Designing an intuitive and user-friendly interface can help patients interact with the chatbot more effectively and obtain the medical advice and care they need.

Tech Used :

  1. Tkinter
  2. Spacy
  3. Huggingface
  4. NLP

Installation

Use the package manager pip to install the requirements.txt file package.

  • pip install -r requirements.txt

Buy Source Code ₹1501

Buy Project Report ₹1001