Author Archive: Yugesh Verma

100 unique machine learning project proposal

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  1. Predicting Customer Churn in a Telecom Company using Machine Learning
  2. Anomaly Detection in Time Series Data using Autoencoder
  3. Detecting Fraudulent Transactions using Random Forest
  4. Building a Recommendation System using Collaborative Filtering
  5. Predicting House Prices using Regression Techniques
  6. Classifying Images using Convolutional Neural Networks (CNNs)
  7. Sentiment Analysis of Social Media Posts using Natural Language Processing (NLP)
  8. Detecting Parkinson’s Disease using Machine Learning Techniques
  9. Credit Risk Assessment using Decision Trees
  10. Predicting Stock Prices using Time Series Analysis
  11. Predicting the Success of a Marketing Campaign using Decision Trees
  12. Recognizing Handwritten Digits using Neural Networks
  13. Facial Recognition using Convolutional Neural Networks (CNNs)
  14. Customer Segmentation using K-Means Clustering
  15. Predicting the Likelihood of Customer Loan Default using Logistic Regression
  16. Identifying Wildlife using Image Recognition Techniques
  17. Fraud Detection in Insurance Claims using Machine Learning
  18. Predicting the Outcome of a Football Match using Regression Techniques
  19. Recommending Movies based on User Ratings using Collaborative Filtering
  20. Classifying Emails as Spam or Non-Spam using Naive Bayes
  21. Building a Chatbot using Natural Language Processing (NLP)
  22. Detecting Heart Disease using Machine Learning Techniques
  23. Building a Music Recommendation System using Collaborative Filtering
  24. Predicting Flight Delays using Regression Techniques
  25. Identifying Plant Species using Image Recognition Techniques
  26. Predicting Customer Lifetime Value using Regression Techniques
  27. Detecting Cyber Attacks using Machine Learning Techniques
  28. Building a News Recommendation System using Collaborative Filtering
  29. Sentiment Analysis of Customer Reviews using Natural Language Processing (NLP)
  30. Predicting the Outcome of a Basketball Game using Regression Techniques
  31. Classifying Images of Food using Convolutional Neural Networks (CNNs)
  32. Detecting Breast Cancer using Machine Learning Techniques
  33. Building a Product Recommendation System using Collaborative Filtering
  34. Predicting Traffic Congestion using Regression Techniques
  35. Detecting Spam Calls using Machine Learning Techniques
  36. Building a Book Recommendation System using Collaborative Filtering
  37. Sentiment Analysis of Movie Reviews using Natural Language Processing (NLP)
  38. Detecting Alzheimer's Disease using Machine Learning Techniques
  39. Predicting the Outcome of a Baseball Game using Regression Techniques
  40. Recognizing Objects in Images using Convolutional Neural Networks (CNNs)
  41. Identifying Fraudulent Financial Statements using Machine Learning
  42. Building a Restaurant Recommendation System using Collaborative Filtering
  43. Predicting Customer Satisfaction using Regression Techniques
  44. Identifying the Best Route for Delivery using Machine Learning Techniques
  45. Building a Course Recommendation System using Collaborative Filtering
  46. Sentiment Analysis of Product Reviews using Natural Language Processing (NLP)
  47. Detecting Autism using Machine Learning Techniques
  48. Predicting the Outcome of a Tennis Match using Regression Techniques
  49. Recognizing Text in Images using Optical Character Recognition (OCR)
  50. Identifying Malicious Websites using Machine Learning Techniques
  51. Building a Travel Recommendation System using Collaborative Filtering
  52. Predicting the Success of a Kickstarter Campaign using Machine Learning Techniques
  53. Detecting Depression using Machine Learning Techniques
  54. Predicting the Outcome of a Hockey Game using Regression Techniques
  55. Identifying Traffic Signs using Image Recognition Techniques
  56. Building a Real Estate Recommendation System using Collaborative Filtering
  57. Sentiment Analysis of Restaurant Reviews using Natural Language Processing (NLP)
  58. Detecting Lung Cancer using Machine Learning Techniques
  59. Predicting the Outcome of a Soccer Game using Regression Techniques
  60. Classifying Images of Animals using Convolution
  61. Predicting Online Purchases using Machine Learning Techniques
  62. Image Segmentation using Convolutional Neural Networks (CNNs)
  63. Medical Image Analysis using Deep Learning
  64. Fraud Detection in Credit Card Transactions using Machine Learning
  65. Predicting Sales using Time Series Analysis
  66. Building a Music Genre Classifier using Machine Learning
  67. Building a Chatbot using Sequence-to-Sequence Models
  68. Identifying Fake News using Natural Language Processing (NLP)
  69. Predicting Patient Readmission using Machine Learning Techniques
  70. Predicting Solar Power Generation using Machine Learning
  71. Building a Recipe Recommendation System using Collaborative Filtering
  72. Detecting Pneumonia using Machine Learning Techniques
  73. Traffic Sign Detection and Recognition using Deep Learning
  74. Sentiment Analysis of Hotel Reviews using Natural Language Processing (NLP)
  75. Building a Social Network Recommendation System using Collaborative Filtering
  76. Identifying Depression using Social Media Posts using Natural Language Processing (NLP)
  77. Predicting the Success of a Movie using Machine Learning Techniques
  78. Identifying Hand Gestures using Deep Learning
  79. Building a Restaurant Rating Prediction System using Collaborative Filtering
  80. Predicting Customer Lifetime Value using Machine Learning Techniques
  81. Identifying Sarcasm in Text using Natural Language Processing (NLP)
  82. Detecting Brain Tumors using Machine Learning Techniques
  83. Building a Fashion Recommendation System using Collaborative Filtering
  84. Identifying Emotional States using Facial Expression Recognition
  85. Predicting Product Returns using Machine Learning Techniques
  86. Building a Car Recommendation System using Collaborative Filtering
  87. Building a News Article Classification System using Machine Learning
  88. Predicting Traffic Accidents using Machine Learning Techniques
  89. Identifying Bot Accounts in Social Media using Machine Learning
  90. Predicting the Success of a Book using Machine Learning Techniques
  91. Building a Travel Package Recommendation System using Collaborative Filtering
  92. Detecting Glaucoma using Machine Learning Techniques
  93. Predicting Customer Complaints using Natural Language Processing (NLP)
  94. Building a Beer Recommendation System using Collaborative Filtering
  95. Classifying Speech Emotions using Machine Learning Techniques
  96. Identifying Cyberbullying in Social Media using Natural Language Processing (NLP)
  97. Predicting the Success of a Video Game using Machine Learning Techniques
  98. Building a Hotel Room Recommendation System using Collaborative Filtering
  99. Detecting Skin Cancer using Machine Learning Techniques
  100. Building a Ride-Sharing Recommendation System using Collaborative Filtering.

Customer Churn in a Telecom Company using Machine Learning project proposal

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Project Title: Predicting Customer Churn in a Telecom Company using Machine Learning

Project Description:

The aim of this project is to predict customer churn in a telecom company using machine learning techniques. Customer churn is the rate at which customers stop using a company's services, and predicting it can help the company identify customers who are at risk of leaving, and take proactive measures to retain them.

As a student, you can start by understanding the concept of customer churn and how it affects a telecom company's business. You can then collect and preprocess a dataset of customer information, such as demographic data, call and text usage, billing information, and other customer data.

After preprocessing the data, you can perform exploratory data analysis to identify patterns and trends that may indicate a likelihood of churn. You can then use various machine learning techniques, such as logistic regression, decision trees, random forests, and support vector machines (SVMs) to build predictive models.

You can evaluate the performance of the models using metrics such as accuracy, precision, recall, and F1 score. Once the models have been trained and evaluated, you can deploy them to predict customer churn in real-time.

The final deliverable can be a report detailing the methodology, findings, and recommendations for the telecom company.

Expected Deliverables:

  1. A detailed analysis of the customer data and the factors that contribute to customer churn in the telecom industry.
  2. A set of machine learning models that can predict customer churn with high accuracy.
  3. A user-friendly web interface that allows the telecom company to input customer data and get predictions in real-time.
  4. A comprehensive report that details the methodology, findings, and recommendations for the telecom company.

Tools and Technologies:

  1. Python
  2. Scikit-learn
  3. Pandas
  4. NumPy

Project Timeline:

As a student project, the timeline can be flexible and depend on your availability. However, you can follow this timeline: Week 1: Understanding the concept of customer churn and the telecom industry Week 2-3: Data Collection and Preprocessing Week 4-5: Exploratory Data Analysis and Feature Engineering Week 6-7: Model Development and Evaluation Week 8: Report Writing and Presentation.

Automated Answer Grading System machine learning project

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Buy Source Code ₹1501

Buy Project Report ₹1001

An Automated Answer Grading System is a machine learning-based Django project that allows teachers to automatically grade student answers in a fast and efficient manner. The system will use natural language processing techniques to analyze and compare the student's answer to the correct answer and assign a grade based on how closely the two match.

The project will consist of a web-based interface that teachers can use to upload student answers and view the results. Teachers will also have the ability to view detailed reports on student performance, including overall scores and breakdowns of individual question scores.

The system will be trained using a dataset of correct and incorrect answers, which will be used to develop the machine learning model that will be used to grade the student's answers. The model will use various natural language processing techniques such as text similarity, sentiment analysis, and topic modeling to compare the student's answer to the correct answer.

The project will be built using the Django web framework and will be hosted on a cloud platform such as AWS or Google Cloud. The frontend of the system will be designed using HTML, CSS, and JavaScript and will provide an easy-to-use and intuitive interface for teachers to interact with.

Overall, the Automated Answer Grading System will be a powerful tool for teachers that will allow them to grade student answers quickly and accurately, freeing up more time for other important teaching tasks.

Dataset

The dataset used is the Kaggle’s Automatic Essay Scoring dataset,can be downloaded from https://www.kaggle.com/c/asap-aes/data

Results

The models were tested using kappa statistic which is intending to compare labelling by different human annotators, not a classifier versus a ground truth. The kappa score is a number between -1 and 1. Scores above .8 are generally considered good agreement,zero or lower means no agreement For this project we have used an Algorithm in which we Combine all the topics into a single model and predicted the score using bi-directional LSTM. kappa score obtained is 0.74

 

Latest Artificial Intelligence Projects Topics & Ideas

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Machine Learning paid projects List

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  281. Bias Detector Artificial Intelligence projects
  282. Constructing Personal Networks Through Communication History Artificial Intelligence projects
  283. Modeling Protein Interactions Using Bayesian Networks Artificial Intelligence projects
  284. Topic Analysis of the FCC’s Public Comments on Net Neutrality Artificial Intelligence projects
  285. Predicting Hospital Readmissions Artificial Intelligence projects
  286. Analyzing Positional Play in Chess Using Artificial Intelligence Artificial Intelligence projects
  287. Yelp Restaurants’ Open Hours Artificial Intelligence projects
  288. Identifying Arrhythmia from Electrocardiogram Data Artificial Intelligence projects
  289. Diagnosing and Segmenting Brain Tumors and Phenotypes using MRI Scans M
  290. chine Learning projects
  291. Exploring the Genetic Basis of Congenital Heart Defects Artificial Intelligence projects
  292. Attribution of Contested and Anonymous Ancient Greek Works Artificial Intelligence projects
  293. Object Detection for Semantic SLAM using Convolutional Neural Networks Artificial Intelligence projects
  294. Sentiment as a Predictor of Wikipedia Editor Activity Artificial Intelligence projects
  295. Blowing Up The Twittersphere- Predicting the Optimal Time to Tweet Artificial Intelligence projects
  296. Evergreen Classification_ Exploring New Features Artificial Intelligence projects
  297. Detecting Lane Departures Using Weak Visual Features Artificial Intelligence projects
  298. Re-clustering of Constellations through Artificial Intelligence Artificial Intelligence projects
  299. Application of Neural Network In Handwriting Recognition Artificial Intelligence projects
  300. Recognition and Classification of Fast Food Images Artificial Intelligence projects
  301. Reduced Order Greenhouse Gas Flaring Estimation Artificial Intelligence projects
  302. Blood Pressure Detection from PPG Artificial Intelligence projects
  303. Predicting Low Voltage Events on Rural Micro-Grids in Tanzania Artificial Intelligence projects
  304. Amazon Employee Access Control System_Updated_Version Artificial Intelligence projects
  305. Prediction Onset Epileptic Artificial Intelligence projects
  306. Evaluating Pinch Quality of Underactuated Robotic Hands Artificial Intelligence projects
  307. Reinforcement Learning With Deeping Learning in Pacman Artificial Intelligence projects
  308. Language identification and accent variation detection in spoken language recordings Artificial Intelligence projects
  309. Enhancing Cortana User Experience Using Artificial Intelligence Artificial Intelligence projects
  310. Who Matters Artificial Intelligence projects
  311. Predicting Heart Attacks Artificial Intelligence projects
  312. Predicting Seizures in Intracranial EEG Recordings Artificial Intelligence projects
  313. tructural Health Monitoring in Extreme Events from Artificial Intelligence Perspective Artificial Intelligence projects
  314. On-line Kernel Learning for Active Sensor Networks Artificial Intelligence projects
  315. ECommerce Sales Prediction Using Listing Keywords Artificial Intelligence projects
  316. Review Scheduling for Maximum Long-Term Retention of Knowledge Artificial Intelligence projects
  317. Adaptive Spaced Repetition Artificial Intelligence projects
  318. Do a Barrel Roll Artificial Intelligence projects
  319. Oil Field Production using Artificial Intelligence Artificial Intelligence projects
  320. Predicting Success for Musical Artists through Network and Quantitative Data Artificial Intelligence projects
  321. Better Models for Prediction of Bond Prices Artificial Intelligence projects
  322. Classifying the Brain 27s Motor Activity via Deep Learning Artificial Intelligence projects
  323. Prediction of Bike Rentals Artificial Intelligence projects
  324. Classification of Alzheimer’s Disease Based on White Matter Attributes Artificial Intelligence projects
  325. MoralMachines- Developing a Crowdsourced Moral Framework for Autonomous Vehicle Decisions Artificial Intelligence projects
  326. Context Specific Sequence Preference Of DNA Binding Proteins Artificial Intelligence projects
  327. Predicting Reddit Post Popularity ViaInitial Commentary Artificial Intelligence projects
  328. Artificial Intelligence for Continuous Human Action Recognition Artificial Intelligence projects
  329. Predicting Pace Based on Previous Training Runs Artificial Intelligence projects
  330. Probabilistic Driving Models and Lane Change Prediction Artificial Intelligence projects
  331. Multiple Sensor Indoor Mapping Using a Mobile Robot Artificial Intelligence projects
  332. Bone Segmentation MRI Scans Artificial Intelligence projects
  333. #Rechorder Anticipating Music Motifs In Real Time Artificial Intelligence projects
  334. Prediction and Classification of Cardiac Arrhythmia Artificial Intelligence projects
  335. Predicting DJIA Movements from the Fluctuation of a Subset of Stocks Artificial Intelligence projects
  336. Sentiment Analysis for Hotel Reviews Artificial Intelligence projects
  337. Mood Detection with Tweets Artificial Intelligence projects
  338. Comparison of Artificial Intelligence Techniques for Magnetic Resonance Image Analysis Artificial Intelligence projects
  339. Object Recognition in Images Artificial Intelligence projects
  340. 3D Scene Retrieval from Text Artificial Intelligence projects
  341. Predicting Breast Cancer Survival Using Treatment and Patient Factors Artificial Intelligence projects
  342. Parking Occupancy Prediction and Pattern Analysis Artificial Intelligence projects
  343. Supervised DeepLearning For MultiClass Image Classification Artificial Intelligence projects
  344. User Behaviors Across Domains Artificial Intelligence projects
  345. Seizure forecasting Artificial Intelligence projects
  346. Stock Trend Prediction with Technical Indicators using SVM Artificial Intelligence projects
  347. Predicting Usefulness of Yelp Reviews Artificial Intelligence projects
  348. Multiclass Classifier Building with Amazon Data to Classify Customer Reviews into Product Categories Artificial Intelligence projects
  349. An Energy Efficient Seizure Prediction Algorithm Artificial Intelligence projects
  350. Classifier Comparisons On Credit Approval Prediction Artificial Intelligence projects
  351. Appliance Based Model for Energy Consumption Segmentation Artificial Intelligence projects
  352. analysis on 1s1r array Artificial Intelligence projects
  353. Phishing Detection System Using Artificial Intelligence a
  354. Self Driving car project using Artificial Intelligence
  355. OpenCV Python Neural Network Autonomous RC C
  356. Stock prediction using sentimental analysis – Artificial Intelligence projects
  357. Illness Tracker | Final Year Project
  358. Artificial Intelligence neural network JAVA PROJECTS
  359. Credit Card Fraud Detection Using Neural Network
  360. Detecting Phishing Websites using Artificial Intelligence Technique
  361. Artificial Intelligence Final Project: Classification of Neural Responses to Threat
  362. A Computer Aided Diagnosis System for Lung Cancer Detection using Machine
  363. Prediction of Diabetes and cancer using SVM
  364. Efficient Heart Disease Prediction System

 

ChatGPT Flutter ChatGPT Moblie App

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Looking for a fun and interactive chatbot? Look no further than Chat GPT AI! This artificial intelligence chatbot, powered by GPT-3 technology, is designed to entertain and engage users in conversation. search anything with AI, Chat GPT AI Chatter is the perfect app for you!

ChatGPT is the revolutionary new chatting app that combines the power of artificial intelligence with the convenience of messaging.

FLUTTER APP FEATURES:

  1. Design with Flutter For Android & iOS
  2. Dart Language
  3. Generate any image with dallee by open AI
  4. Write Content blog posts, Social media content with AI
  5. Easy to Understand Code
  6. Clean Code

GOOGLE ADMOB:

REQUIREMENTS:

  1. Android Studio / Vscode
  2. Flutter 3.3

INSTRUCTIONS:

  1. Download File
  2. Unzip File
  3. Open project in Android Studio or Vscode

PROJECT STRUCTURE:

  1. Screens – Contains all indiviual pages/ screen
  2. Theme- Contains all template styles and colors
  3. components – Contains reuseble widgets

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
  • 3 months support included

Multi-Tenancy eCommerce Platform Laravel

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Multi-Tenancy eCommerce Website Builder SaaS PHP Scripts. It use Separate Database for each Tenants, so that your website load fast, has option to add custom domains. automatic subdomain creations and much more. it comes with a different 2 theme with necessary inner pages, it will help your tenant to eCommerce website easily without hassle or thinking much about design. it also has 20+ payment gateway, will more than 150currency support. It’s highly customisable, it comes with many awesome features, like drag & drop menu builder, drag & drop form builder, drag & drop widget builder and many more. it’s compatible with Desktop, laptop, mobile and also compatible with major browsers.

Features

  1. Unique Design
  2. 02 theme (10+ more theme coming soon)
  3. Powerful Admin Dashboard
  4. User Role Permission System (Super Admin Can Assign Role or Can Add New Admin)
  5. User Dashboard
  6. Tax Module
  7. Inventory Module
  8. Advance shipping Module
  9. Campaign Module
  10. Variant Module
  11. RTL Support
  12. Dynamic Page
  13. Page Slug Change Options
  14. Page Meta Tag Options
  15. Drag & Drop Menu Builder
  16. Drag & Drop Form Builder
  17. Drag & Drop Widgets Area Builder
  18. FAQ Page with google schema markup support
  19. Page Slug & Name Change
  20. 950+ Google Fonts
  21. Cache Settings
  22. Pre Made Pages Slug change
  23. Pre Made Pages Name change
  24. Custom CSS Settings
  25. Custom JS Settings
  26. Maintains Mode
  27. GDPR Cookie Settings
  28. Email Template Settings
  29. SEO Settings Available
  30. OG Meta Added
  31. Google Analytics Settings
  32. Live Chat Options
  33. Unlimited Color Option
  34. Dynamic Order Page
  35. FAQ Page
  36. Typography Settings
  37. Well Documented
  38. Quality Support
  39. Lifetime Update

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
  • 3 months support included

Vehicle Breakdown Assistance Management System Project in PHP Mysql

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On Road Vehicle Breakdown Assistance system Project can search for list of mechanic at any location or the nearby locations which will help them in an unexpected situations raised by the mechanical issues of their vehicles. Only the Trusted  mechanics can get listed here while the search. Road assistance for car . And there are available mechanic who can come and repair the mechanical issues in the users vehicle.

There are Three Modules , Admin , Users, Mechanics

User Module

  1. Register – User has to register their basic details to get access with this application service.
  2. Login – Once they have registered they need to login to avail the service at the needy time.
  3. View Details – Logging in with the application will provide you the lists of mechanics that have the approval of the application.
  4. Search records & call – So that the users can search the mechanic among the list according to their place and time.
  5. Post feedback – After all the process every user has to give their feedback with this application to about their adopted service through this medium.

Admin Module

  1. Customers : - View All Customers and Delete,  Edit .
  2. Mechanics:- View All Mechanics and Delete,  Edit .
  3. View All Feedbacks.

Mechanic Module

  1. Register – At first every mechanic has to register their details with the admin for getting approval.
  2. Login – Registered mechanics can login their accounts if they got their approval from the admin.
  3. Post details – Here mechanics have to post their details like name, location, services available, etc.
  4. View feedback – Using the feedbacks provided by the users/customers of the service mechanics have to maintain or improve their service.

Brief overview of the technology:

Front end: HTML, CSS, JavaScript

  1. HTML: HTML is used to create and save web document. E.g. Notepad/Notepad++
  2. CSS : (Cascading Style Sheets) Create attractive Layout
  3. Bootstrap : responsive design mobile freindly site
  4. JavaScript: it is a programming language, commonly use with web browsers.

Back end: PHP, MySQL

  1. PHP: Hypertext Preprocessor (PHP) is a technology that allows software developers to create dynamically generated web pages, in HTML, XML, or other document types, as per client request. PHP is open source software.
  2. MySQL: MySql is a database, widely used for accessing querying, updating, and managing data in databases.

Software Requirement(any one)

  1. WAMP Server
  2. XAMPP Server
  3. MAMP Server
  4. LAMP Server

Download Link

 

Online Gas Booking Project in Python Django

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Buy Project Code ₹501

Buy Project Report ₹501

The Online Gas Booking System Project in Python Django has been developed to override the problems prevailing in the practicing manual system. This Project is Supported to eliminate and in some cases reduce the hardship faced by this existing system. More over this Project is designed for the particular need of the company to carry out operations in a smooth and effective manner

User Panel :

(Users first fill the signup form then login into their panel and do the following activities )

  1. Dashboard: This is the Welcome page for the customer.
  2. New Connection: In this section, customer sends the request for LPG connection to the organization
  3. Book Cylinder: When the organization provides a connection number then the customer can book his/her cylinder.
  4. Booking History: In this section, customer can view the history of gas booking.
  5. Search: In this section, customer can search gas booking records by entering the booking number.
  6. The customer can also update his profile, change the password and recover the password.

Admin Panel :

  1. Admin is the superuser of the website who can manage everything on the website. Admin can log in through the login page
  2. Dashboard: In this section, admin can see all detail in brief like the total new connection, total new connection,
  3. total on-hold connection, total approved connection, total rejected connection, total new booking, total confirmed booking, total canceled booking, total assign booking, total delivered LPG, total staff and total registered users
  4. Delivery Staff: In this section, admin can manage staff (add/update).
  5. Reg Users: In this section, admin can view the detail of registered users.
  6. Connection: In this section, admin can view the connection request admin also has the right to change connection status according to the current status and add his/her remarks.
  7. Booking: In this section, admin can view booking request and assign to delivery staff or cancel the booking.
  8. Assigned Booking: In this section, admin can change the status of booking according to the current status and add his/her remarks.
  9. Reports: In this section, admin can view booking and connection requests in a particular period.
  10. Search: In this section, admin can search booking and connection details with the help of booking number and connection number respectively.
  11. Admin can also update his profile, change the password and recover the password.

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. SQLite : SQLite database has been used as database for the project
  7. Django : Project has been developed over the Django 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 2.7, 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.

Django Installation Steps :-

  1. Install Python 3.7 Or Higher
  2. Install Django version 3.0.8
  3. Install all dependencies cmd -python -m pip install --user -r requirements.txt
  4. Finally run cmd - python manage.py runserver