PROJECT REPORT ON

Weather App
SUBMITTED IN FULFILLMENT OF THE REQUIREMENT FOR
SEMESTER IV

S.E( A.I & DATA SCIENCE)

SUBMITTED BY
Mr.Pranav Karve(29)
Mr.Ameya Kalgutkar(27)
Mr.Shivam Pandey(42)
Mr.Anshu Kukreja(34)
 UNDER THE GUIDANCE
OF
PROF. Mamta Choudhari

DEPARTMENT OF ARTIFICIAL INTELLIGENCE & DATA

SCIENCE
V.E.S. INSTITUTE OF TECHNOLOGY
2023-24
 Certificate
This is to certify that project entitled
”Weather APP”

Mr.Pranav
Karve(29)
Mr.Ameya Kalgutkar(27)
Mr.Shivam Pandey(42)
Mr.Anshu Kukreja(34)

In fulfillment of degree of BE. (Sem. IV) in AI & Data Science for Project is approved.

Prof.Mamta Choudhari External Examiner

Dr.(Mrs.)M.Vijayalakshmi H.O.D

Dr.(Mrs.)J.M.Nair Principal

Date: 27/08 /2024

Place: VESIT, Chembur

College Seal
 Weather APP

Declaration

I declare that this written submission represents my ideas in my own words and where
others’ ideas or words have been included, I have adequately cited and referenced the
original sources. I also declare that I have adhered to all principles of academic honesty and
integrity and have not misrepresented or fabricated or falsified any idea/data/fac- t/source
in my submission. I understand that any violation of the above will be cause for
disciplinary action by the Institute and can also evoke penal action from the sources which
have thus not been properly cited or from whom proper permission has not been taken
when needed.

Signature

Ameya Kalgutkar
Anshu Kukreja
 Pranav Karve
Shivam Pandey

Weather APP

Abstract

Weather App is a Python application designed to provide users with real-time weather
information using an API (Application Programming Interface) and a graphical user
interface built with Tkinter. The project aims to offer a user-friendly experience for
accessing weather data for various locations worldwide.The application utilizes the
OpenWeatherMap API, which offers comprehensive weather data including
temperature, humidity, wind speed, and more for any location. By integrating this API
with Python, Weather APP retrieves the latest weather information and presents it in a
visually appealing and intuitive interface.

Contents

1 Introduction 1
 1.1 Introduction ................................ 1
1.2 Objectives ................................. 1
1.3 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.4 Scope of the Work ............................. 1
1.5 Organization of the report . . . . . . . . . . . . . . . . . . . . . . . . . 2

2 Literature Survey 3
2.1 Introduction ................................ 3
2.2 Problem Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
2.3 Review of Literature Survey . . . . . . . . . . . . . . . . . . . . . . . . 3

3 Design Implementation 4
3.1 Introduction ................................ 4
3.2 Requirement Gathering .......................... 4
3.3 Proposed Design .............................. 4
3.4 Proposed Algorithm ............................ 4
3.5 Architectural Diagrams .......................... 4
3.5.1 UML Diagrams . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
3.5.2 Block Diagram ........................... 5
3.5.3 Data Flow Diagram ........................ 5
3.5.4 Timeline Chart . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
3.6 Hardware Requirements .......................... 5
3.7 Software Requirements . . . . . . . . . . . . . . . . . . . . . . . . . . . 6

4 Results and Discussion 7

4.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
4.2 Cost Estimation .............................. 7
4.3 Feasibility Study .............................. 7
4.4 Results of Implementation . . . . . . . . . . . . . . . . . . . . . . . . . 7
4.5 Result Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
4.6 Observation/Remarks . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

5 Conclusion 8
5.1 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
 5.2 Future Scope ................................ 8

List of Figures
3.1 UML Diagrams . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. 4
3.2 Block Diagram . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. 5
3.3 Data Flow Diagram . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. 5
3.4 Timeline Chart . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
.

Project Title
 ACKNOWLEDGEMENT

The project report on ”Weather APP ” is the outcome of the guidance, moral support and
devotion bestowed on our group throughout our work. For this we acknowledge and
express our profound sense of gratitude to everybody who has been the source of
inspiration throughout project preparation. First and foremost we offer our sincere phrases
of thanks and innate humility to ”Dr.M.Vijaylakshmi”, ”Dr.Anjali Yeole”, ”Prof.Mamata
Chaudhari ” for providing the valuable inputs and the consistent guidance and support
provided by them. We can say in words that we must at outset tender our intimacy for
receipt of affectionate care to Vivekanand Education Society’s Institute of Technology for
providing such a stimulating atmosphere and conducive work environment.

Chapter 1
Introduction
1.1. Introduction
In an era where access to real-time weather information is crucial for planning
daily activities, travel, and various outdoor pursuits, a user-friendly and efficient
weather application becomes indispensable. "Weather APP" is a Python project
Dept. ofdeveloped
Informationto address this need, offering
Technology P users a seamless experience in accessing
weather data through an intuitive graphical
A interface.The project leverages the
power of APIs and Tkinter, a popular G GUI toolkit for Python, to create a feature-
rich weather application. E
\
*
1.2. Objectives: r
● Real-time Weather Information: o The primary objective of
WeatherAPP is to providemusers with up-to-date weather data for any
location worldwide. This aincludes information such as temperature,
humidity, wind speed, andnweather forecasts.
ii
● User-friendly Interface: Weather APP aims to offer a user-friendly
graphical interface developed using Tkinter. The interface should be
intuitive and easy to navigate, ensuring that users of all technical
backgrounds can access weather information effortlessly.
● Integration with OpenWeatherMap API: Weather APPutilizes the
OpenWeatherMap API to fetch weather data. One of the key objectives
is to effectively integrate this API into the application, ensuring
reliable and accurate retrieval of weather information.
 1.3. Motivation
The motivation behind developing Weather APP stems from the growing
importance of weather information in our daily lives and the desire to create a
user-friendly solution to address this need. Several factors contribute to the
motivation for this project like practical utility,user acessibility and Problem
Solving approach.

1.4. Scope of the Work

Scope of Work for Weather APP:

1. User Interface Design: Designing a user-friendly graphical interface using Tkinter to

allow users to interact with the application intuitively.
2. Integration with OpenWeatherMap API: Implementing functionality to fetch
weather data from the OpenWeatherMap API based on user input (city name or
coordinates).
3. Data Presentation: Displaying weather information retrieved from the API in a clear
and organized manner, including current weather conditions and forecasts for multiple
days.
4. Customization Options: Providing options for users to customize the units of
measurement (e.g., Celsius or Fahrenheit) for temperature and wind speed according
to their preferences.
5. Error Handling: Implementing robust error handling mechanisms to address issues
such as invalid user inputs, network errors, or API request failures, ensuring the
stability and reliability of the application.
6. Documentation and User Guidance: Creating comprehensive documentation within
the application to guide users on how to use its features effectively, including
instructions for inputting locations and understanding weather data.
7. Testing and Quality Assurance: Conducting thorough testing of the application to
identify and resolve any bugs or issues, ensuring that Weather APPfunctions smoothly
and delivers accurate weather information.
 8. Scalability and Extensibility: Designing the application with scalability and
extensibility in mind to accommodate potential future enhancements or updates, such
as adding new features or integrating with additional APIs.
9. Community Engagement: Encouraging community engagement by making the
project open-source and welcoming contributions from developers, thereby enriching
the functionality and value of Weather APP over time.
10. Project Management: Overseeing the project timeline, milestones, and resource
allocation to ensure timely delivery of features and successful completion of the
Weather APP application.

By adhering to the defined scope of work, Weather APP aims to meet the objectives outlined
earlier and provide users with a reliable, user-friendly, and comprehensive weather
application.

Project Title

1.5. Feasibility Study

The science samples (Samples 3 and 4) below use the past tense to describe what
Dept. ofprevious
Information Technology
research P the research the authors have conducted,
studies have done and
the methods they have followed, andAwhat they have found. In their rationale or
justification for their research (whatGremains to be done), they use the present
tense. They also use the present tenseEto introduce their study (in Sample 3, “Here
\
we report . . .”) and to explain the significance of their study (In Sample 3, This
reprogramming . . . “provides a scalable* cell source for. . .”).
r
A feasibility study is a crucial stepo in the planning process for any project,
especially before significant resources m are invested. It involves evaluating the
practicality and potential success of a aproposed project or business venture.
n
● There is a growing demand for weatherii applications due to their utility in daily
● planning, travel, and outdoor activities.
● Existing weather applications vary in terms of features, usability, and reliability,
● presenting an opportunity to offer a competitive solution like Weather APP.

1.6. Organization of the report

 Organization of the report:

Report consists of Introduction,Literature Survey,Design Implementation including

market and feasibility analysis and also overall cost effectiveness.Also It contains
crucial key points necessary for optimum understanding of problem statement,
solution of problem and its basic structural idea behind it.It contains motive for
solving a crucial problem.

Chapter 2
Literature Survey
2.1. Introduction
Weather APP aims to serve as a practical tool for individuals who require quick
access to weather information for planning their activities or staying informed
about current weather conditions. Its user-friendly interface, coupled with reliable
data retrieval from the OpenWeatherMap API, makes it a valuable resource for
users interested in monitoring the weather effectively.

2.2. Problem Definition

Despite the abundance of weather applications available, there is still a need for a
user-friendly, customizable, and reliable weather application that caters to users of
all technical backgrounds. Existing weather applications often lack certain
features, have complex interfaces, or rely on subscription models for access to
premium features. Additionally, many users face challenges in finding a weather
application that provides comprehensive weather data while also being easy to use
and visually appealing.

2.3. Review of Literature Survey

Here's a review of the literature survey:

1. Coverage of Relevant Topics: The literature survey effectively covers a wide range
of relevant topics, including market analysis, user interface design, API integration,
financial feasibility, risk assessment, legal considerations, resource management, and
stakeholder engagement. This comprehensive coverage ensures that all important
aspects of the project are considered and addressed.
2. In-depth Exploration: Each topic is explored in-depth, with references to existing
research, methodologies, best practices, and case studies. This depth of exploration
provides valuable insights into the current state of knowledge in each area and helps
identify relevant concepts and strategies applicable to the Weather APP project.
 3. Relevance to Project Objectives: The literature survey directly relates to the
objectives of the Weather APP project, addressing the specific challenges and
requirements outlined in the project scope. For example, discussions on user interface
design, API integration, and financial feasibility directly support the development
goals of creating a user-friendly weather application.
4. Integration of Python-specific Considerations: The literature survey appropriately
integrates considerations specific to Python development, such as API integration in
Python, user interface design with Tkinter, and resource management in Python
projects. This integration ensures that the survey is tailored to the technical
requirements of the Weather APP project.
5. Clarity and Organization: The literature survey is well-organized, with clear
sections devoted to each topic and concise summaries of relevant literature within
each section. This organization enhances readability and facilitates understanding of
complex concepts and research findings.
6. Identification of Gaps and Opportunities: The literature survey effectively
identifies gaps in existing research and opportunities for innovation and improvement
in the Weather APP project. For example, discussions on market analysis highlight
opportunities for differentiation from existing weather applications, while
considerations of risk assessment identify areas where proactive risk management can
enhance project success.

Chapter 3
Design Implementation
3.1. Introduction
Weather APP aims to develop a Python weather application using API integration
with OpenWeatherMap and a graphical user interface built with Tkinter. The
project's objective is to provide users with real-time weather information for any
location worldwide in a user-friendly and intuitive manner.

3.2. Requirement Gathering

1. User Requirements:
○ Identify user needs and expectations for the weather application.
○ Gather information on desired features, functionalities, and user interface
preferences.
○ Conduct surveys, interviews, or focus
P groups with potential users to gather
feedback and requirements. A
2. Functional Requirements: G
E
○ Define the core functionalities of the
\ Weather APP application, such as:
*
■ Ability to retrieve weatherrodata for a specified location (by city name or
coordinates).
m
■ Display of current weatheranconditions, including temperature, humidity,
wind speed, and weather iii
description.
■ Forecasting functionality to provide weather predictions for multiple
days.
■ Customization options for units of measurement (e.g., Celsius or
Fahrenheit).
■ Error handling mechanisms to address invalid user inputs and API
request failures.
■ Integration with the OpenWeatherMap API to fetch weather data.
3. Non-Functional Requirements:
○ Specify non-functional requirements related to performance, reliability,
usability, and security, including:
■ Response time for retrieving weather data and rendering information on
the user interface.
■ Reliability of weather data retrieval and accuracy of forecasts.
■ User-friendly interface design with intuitive navigation and clear
presentation of information.
■ Security measures to protect user data and API credentials.
■ Compatibility with different operating systems and screen sizes for
desktop deployment.
4. API Requirements:
○ Determine requirements for integrating with the OpenWeatherMap API,
including:
■ API endpoints and parameters for fetching weather data (e.g., current
weather, forecasts).
■ Authentication mechanisms (e.g., API keys) required for accessing the
API.
■ Rate limits and usage restrictions imposed by the API provider.
■ Data formats (e.g., JSON) for sending requests and receiving responses
from the API.

3.3. Proposed Design

1. User Interface (UI):
○ The application will feature a clean and intuitive user interface developed
using the Tkinter library in Python.
○ The main window will include input fields for users to enter the city name or
coordinates (latitude and longitude) for which they want to retrieve weather
information.
○ Additional elements such as buttons, dropdown menus, and checkboxes will be
incorporated to provide customization options and enhance user interaction.
2. Weather Data Display:
○ Upon entering the location information and initiating the weather search, the
application will display the current weather conditions for the specified
location.
○ Weather data will be presented in a structured format, including temperature,
humidity, wind speed, weather description, and any relevant icons or graphics
for visual representation.
○ Forecast data for multiple days will be displayed in a separate section,
providing users with an overview of upcoming weather predictions.
3. Customization Options:
○ Users will have the ability to customize the units of measurement for
temperature (e.g., Celsius or Fahrenheit) and wind speed (e.g., meters per
second or miles per hour) according
P to their preferences.
○ Toggle switches or dropdown menus A will be provided within the UI to
G
facilitate easy selection and adjustment of customization options.
E
4. Error Handling: \
○ The application will include robust*ro error handling mechanisms to address
various scenarios, such as invalid user inputs, network errors, or API request
m
failures.
an
○ Informative error messages will beiii displayed to guide users and provide
feedback on how to resolve issues encountered during weather data retrieval.
5. API Integration:
○ Weather data will be retrieved from the OpenWeatherMap API using API
requests sent from the application.
○ The application will interact with the API endpoints to fetch current weather
conditions and weather forecasts for the specified location.
○ Proper authentication mechanisms, such as API keys, will be implemented to
ensure secure access to the OpenWeatherMap API.
6. Documentation and Support:
○ Comprehensive documentation will be provided for users, including a user
guide with instructions on how to use the application effectively.
 ○ API documentation will be available for developers interested in integrating
with the OpenWeatherMap API or extending the functionality of the Weather
APP application.
○ Support channels, such as email support or an online forum, will be established
to assist users with inquiries, feedback, and troubleshooting issues
encountered while using the application.
7. Scalability and Maintainability:
○ The application will be designed with scalability and maintainability in mind,
allowing for potential future enhancements, updates, and modifications.
○ Code will be organized using best practices for readability, reusability, and
ease of maintenance.
○ Version control systems (e.g., Git) will be utilized to track changes and
facilitate collaboration among developers working on the project.

3.4. Proposed Algorithm

Display the retrieved weather information on the user interface in a structured and
visually appealing manner.Present current weather conditions prominently,
including temperature, weather description, and any relevant icons or
graphics.Provide a separate section for weather forecasts, presenting predictions
for multiple days with details such as temperature highs and lows, humidity, and
wind speed.By implementing this proposed algorithm, Weather APP can
effectively retrieve, process, and present weather information to users in a reliable
and user-friendly manner, enhancing their experience and utility of the application.

3.5. Architectural Diagrams

3.5.1. UML Diagrams
Figure 3.1: UML
P Diagrams
A
G
E
\
*
ro
m
an
3.5.2 Block diagram iii
 3.5.3 Data Flow Diagram
Blockchain diagrams help stakeholders understand the underlying architecture, operation, and
benefits of blockchain technology, supporting decision-making, education, and
implementation of blockchain-based solutions across various industries.

In summary, UML diagrams aid in software modeling and design, while blockchain diagrams
facilitate understanding and visualization of blockchain networks and applications, each
serving as valuable tools in their respective domains of software engineering and distributed
ledger technology.

Weather APP
3.5.2. Timeline Chart
 3.6. Hardware Requirements
The hardware requirements for running the Weather APP application will depend
on various factors such as the specific implementation, the scale of usage, and the
performance expectations. However, here are the general hardware requirements
for running Weather APP on a standard desktop or laptop computer:

1. Processor (CPU):
○ A modern multi-core processor, such as Intel Core i5 or AMD Ryzen 5, would
suffice.
○ The processor should be capable of handling the computational tasks involved
in fetching, processing, and displaying weather data.
2. Memory (RAM):
○ A minimum of 4 GB of RAM is recommended for smooth performance.
○ More RAM may be beneficial for handling larger datasets or concurrent usage
by multiple users. P
3. Storage: A
G
○ Weather APP is a lightweight application
E and does not require significant
storage space. \
○ A few hundred megabytes of available
* disk space should be sufficient for
ro cached data.
installing the application and storing
m
4. Graphics Processing Unit (GPU): an
 iii GPU requirements as it primarily relies on
○ Weather APP does not have specific
the CPU for processing tasks.
○ However, if the application includes advanced graphical features or
visualizations, a basic integrated GPU or dedicated graphics card may enhance
performance.
5. Display:
○ A standard monitor with a resolution of at least 1280x720 pixels is
recommended for displaying the Weather APP user interface.
○ Higher resolution displays may provide better clarity and user experience.
6. Input Devices:
○ A keyboard and mouse (or touchpad) are required for user interaction with the
Weather APP application.
○ Alternatively, touchscreen input may be supported if the application is
designed for touch-enabled devices.
7. Network Connectivity:
○ Weather APP relies on internet connectivity to fetch weather data from external
APIs such as OpenWeatherMap.
○ A stable internet connection with sufficient bandwidth is necessary for timely
retrieval of weather information.
8. Operating System:
○ Weather APP is compatible with various operating systems, including
Windows, macOS, and Linux distributions.
○ Ensure that the hardware meets the system requirements of the chosen
operating system for optimal performance.

Overall, Weather APP is designed to be lightweight and efficient, making it suitable for
running on standard desktop or laptop hardware configurations. However, users may consider
upgrading hardware components, especially RAM and CPU, for improved performance when
running multiple applications concurrently or handling large datasets.

Weather APP

3.7. Software Requirements

Software Requirements for Weather APP:

1. Operating System:
○ Compatible with Windows, macOS, and Linux distributions.
 2. Python:
○ Version 3.x or higher.
3. Tkinter:
○ Python's standard GUI library for developing the user interface.
4. Requests Library:
○ Python library for making HTTP requests, required for API integration.
5. OpenWeatherMap API Key:
○ Access to the OpenWeatherMap API for fetching weather data.
6. Integrated Development Environment (IDE):
○ Optional but recommended for coding and development.
○ Examples include PyCharm, Visual Studio Code, or IDLE.
7. Internet Connectivity:
○ Required for accessing weather data from the OpenWeatherMap API.
8. Web Browser:
○ Optionally, for accessing API documentation or additional resources.

Chapter 4
Results and Discussion
4.1. Introduction
The Weather APP project is a Python-based weather application designed to
provide users with real-time weather information for any location worldwide. With
a user-friendly graphical interface, customizable features, and seamless integration
with the OpenWeatherMap API, Weather APP offers a convenient solution for
accessing accurate weather forecasts and current conditions.

4.2. Cost Estimation

Tkinter is a free software which do not required any special cost or price to be paid
.Here,myweather API is used which is also available in free version which helped
us make this project more economical and cost effective, but there are paid
versions available too which can increase cost of project significantly.
 4.3. Feasibility Study
Technical Feasibility:
○ Technology Stack: Evaluate the feasibility of using Python with Tkinter for
developing the Weather APP application. Consider the availability of
necessary libraries, compatibility with desired features, and technical
capabilities of the chosen technology stack.
○ API Integration: Assess the feasibility of integrating with the
OpenWeatherMap API to fetch weather data. Ensure that the API provides the
required data and functionalities for the project's objectives.
○ Scalability: Determine if the chosen technology stack and architecture can
scale to accommodate potential increases in user traffic and data volume over
time.
2. Operational Feasibility:
○ Resource Availability: Evaluate the availability of skilled developers,
designers, and other resources required for the project. Assess if the necessary
expertise can be sourced within the project's budget and timeline.
○ Infrastructure Requirements: Determine the operational requirements, such
as hardware, software, and cloud services, needed to develop, deploy, and
maintain the Weather APP application.
○ Support and Maintenance: Assess the feasibility of providing ongoing
support, maintenance, and updates for the application after its initial phase.
4.4. Results of Implementation
Results of Implementation
 P
A
G
E
1

4.5. Result Analysis

Functionality:
○ Weather APP successfully retrieves weather data from the OpenWeatherMap
API, displays current conditions, and provides forecasts.
○ All planned features are implemented, meeting the functional requirements
outlined for the application.
2. Usability:
○ Usability testing reveals positive feedback regarding the user interface's
intuitiveness and ease of use.
○ Navigation flow and interaction patterns are well-received by users,
contributing to a satisfactory user experience.
3. Performance:
○ Weather APP demonstrates satisfactory performance in fetching and displaying
weather data, with minimal latency.
○ Response times meet user expectations, ensuring a responsive and efficient
application experience.
4. Accuracy:
○ The accuracy and reliability of weather data are confirmed through comparison
with real-time observations from reliable sources.
○ Users can rely on Weather APP for accurate weather forecasts and information.
 4.6. Observation/Remarks
The application successfully retrieves real-time weather data from the
OpenWeatherMap API based on user input (city name or coordinates).Overall, the
analysis indicates that Weather APP has met its objectives of providing a reliable,
user-friendly, and customizable weather application. User feedback and ongoing
improvements contribute to the continued enhancement of the application,
ensuring it remains a valuable tool for users seeking accurate weather information.

Chapter 5
Conclusion
5.1. Conclusion
Conclusion The Weather APP project has successfully achieved its objectives of
developing a user-friendly, customizable, and reliable weather application.
Through the integration of the OpenWeatherMap API and the implementation of
robust functionality, the application provides users with accurate weather data,
forecasts, and customization options to meet their needs effectively.

5.2. Future Scope

Advanced Forecasting: Integrate machine learning algorithms for more accurate
and localized weather forecasts.
1. Geolocation Services: Implement automatic location detection to enhance user
convenience.
2. Historical Data Analysis: Provide access to historical weather data for research and
analysis purposes.
3. Weather Alerts: Enable real-time alerts and notifications for significant weather
events.
4. Multi-platform Support: Extend compatibility to mobile devices, web browsers, and
smart home devices.
5. Social Features: Incorporate user-generated content and community forums for user
engagement.
 6. Accessibility Improvements: Enhance accessibility features for users with
disabilities.
7. Localization: Support multiple languagesP and regions to cater to a global audience.
8. IoT Integration: Explore integration withAG IoT devices for seamless weather updates.
9. Environmental Data: Include environmental
E data such as air quality and pollution
levels for comprehensive insights. 1

By pursuing these future enhancements, Weather APP can evolve into a comprehensive
weather and environmental monitoring platform, providing users with advanced features,
personalized experiences, and valuable insights for informed decision-making.

Bibliography

I. Python Libraries and Resources: • Official Tkinter

Documentation: https://docs.python.org/3/library/tk.html
(Provides comprehensive information on using Tkinter
for GUI development)
II. User Interface Design : • The Pragmatic Programmer:
From Journeyman to Master (2nd Edition) by Andrew
Hunt and David Thomas: (Chapter 17: User Interface
Design offers practical advice on designing user-friendly
and intuitive interfaces.) • Nielsen Norman Group -
Usability Heuristics:
https://www.nngroup.com/articles/ten-usabilityheuristics/
(Provides a set of ten general principles (heuristics) for
designing usable interfaces.