WEATHER APP

Thesis Submitted for partial fulfillment of the requirement for

the award of the degree of

BACHELOR OF COMPUTER APPLICATION

By

XYZ Name

Under the supervision of

Mr. Nafisur Rahman

Assistant Professor, SEST

Center For Distance and Online Education(CDOE)

Jamia Hamdard

(Deemed to be University)

Hamdard Nagar New Delhi-110062

2025
 CERTIFICATE

On the basis of the declaration submitted by XYZ Name, Enrollment No:-JH/OL/BCA/JULY-

22/3800 a student of the Bachelor of Computer Applications (BCA) program, I hereby certify
that the dissertation entitled “ WEATHER APP", submitted to the Center for Distance and
Online Education (CDOE), Jamia Hamdard, New Delhi, in partial fulfillment of the requirements
for the award of the degree of Bachelor of Computer Applications (BCA), has been carried out
by him under my supervision

Dr. Abdul Majid Farooqi Mr. Nafisur Rahman

Program Coordinator BCA, (CDOE) Assistant Professor, SEST

(Supervisor)

i
 DECLARATION

I, XYZ Name a student of BACHELOR OF COMPUTER APPLICATION

(BCA),(Enrolment No:- JH/OL/BCA/JULY-22/3800) hereby declare that the dissertation
Entitled “WEATHER APP" which is being submitted by me to the Centre for Distance and
Online Education, Jamia Hamdard, New Delhi in partial fulfillment of the requirement for the
award of the degree of Bachelor of Computer Application (BCA) in OL mode is my original
work and has not been submitted anywhere else for the award of any Degree, Diploma,
Associateship, Fellowship or other similar title or recognition.

(Student’s Signature)

Date:

Place:

ii
 ACKNOWLEDGEMENT
would like to express my sincere gratitude to all those who contributed to the successful
development of my Weather App project.

First and foremost, I would like to thank Jamia Hamdard University for providing me with the
opportunity and platform to work on this project. I extend my heartfelt thanks to my guide Mr.
Nafisur Rahman, whose support, guidance, and valuable feedback were instrumental
throughout the project lifecycle.

I also wish to express my appreciation to my friends and classmates who encouraged and
supported me with helpful suggestions and insights, which enhanced the quality of this
application.

A special thanks to OpenWeatherMap API (or any weather API used) and the development
community for providing open-source tools and documentation that made the technical
implementation of this app seamless and efficient.
Finally, I am grateful to my family for their constant encouragement and motivation throughout
this journey.

This project has been a great learning experience, and I am thankful to everyone who played a
role in its completion.

(Student’s Signature)

Date:

iii
 List of Abbreviation
______________________________________________________________________________

Abbreviation Full Form

1. API Application Programming Interface

2. DFD Data Flow Diagram

3. ERD Entity-Relationship Diagram

4. JSON JavaScript Object Notation

5. UI User Interface
6. UX User Experience

7. HTTP HyperText Transfer Protocol

8. URL Uniform Resource Locator

9. SDK Software Development Kit

10. RAM Random Access Memory

11. CPU Central Processing Unit

12. IDE Integrated Development Environment

13. HTTPS HyperText Transfer Protocol Secure

14. IP Internet Protocol

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 Table of Contents
______________________________________________________________________________

Approved Performa

Certificate of Originality ………………………………………………………………………. i

Declaration …………………………………………………………………………………….. ii

Acknowledge ………………………………………………………………………………….. iii

List of Abbreviation …………………………………………………………………………... iv

Table of Contents ……………………………………………………………………………… v

List of figures ………………………………………………………………………………….. vii

List of Tables …………………………………………………………………………………. viii

Approved Synopsis

1. Introduction …………………………………………………………………………….. 1

2. Objective ……………………………………………………………………………….. 2

3. Problem Statement ……………………………………………………………………... 5

4. Software Requirements Specification ………………………………………………….. 6

➢ 1. Software Requirements ……………………………………………………… 6

➢ 2. Hardware Requirements …………………………………………………...... 6

5. Context Flow Diagram ……………………………………………………………….... 7

6. Data Flow Diagram ……………………………………………………………………. 8

• DFD 1 LEVEL ………………………………………………………………… 8

• DFD 2 LEVEL ………………………………………………………………… 10

7. Entity Relationship Diagram (ER- Diagram) …………………………………………. 13

8. Snapshot Of the Project…………………………………………………..……………. 14

9. Conclusion …………………………………………………………………………….. 16

10. Limitation of the Project ……………………………………………………………..... 17

11. Future Scope of the Project …………………………………………………………..... 19

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12. Bibliography …………………………………………………………………………… 21

vi
 List of Figure
______________________________________________________________________________

Context Flow Chart ………………………………………………………………………… 7

Data Flow Diagram

➢ Figure no:-6.1 ………………………………………………………………………… 8

➢ Figure no:-6.2 ……………………………………………………………………….... 10

Entity Relationship Diagram (ER – Diagram)

➢ Figure no:-7.1 ………………………………………………………………………… 13

Snapshot Of the Project

Home page

➢ Figure no:-8.1 ………………………………………………………………………… 14

➢ Figure no:-8.2 ………………………………………………………………………… 14

➢ Figure no:-8.3 ………………………………………………………………………… 15

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 List of Tables
______________________________________________________________________________

Software Requirements Specification

➢ Table no:-4.1 …………………………………………………………………………… 6

➢ Table no:-4.2 …………………………………………………………………………… 6

viii
 1. Introduction
______________________________________________________________________________

Weather plays a crucial role in our daily lives, influencing our activities, travel plans, and even
our moods. With the rapid advancement of technology, accessing real-time weather information
has become easier than ever. As part of my college project, I have developed a basic weather
application designed to provide users with essential weather updates in a simple and user-
friendly manner.

This weather app allows users to check the current weather conditions for any city by simply
entering its name. The app fetches data such as temperature, humidity, and weather description
from a public weather API and displays it in a clear and organized format. Although the app is
not advanced and focuses primarily on core functionalities, it serves as a practical example of
how to integrate external APIs and present dynamic data within a mobile or web application.

The main objective of this project is to enhance my understanding of application development,

API integration, and user interface design. By building this weather app, I have gained valuable
hands-on experience in coding, debugging, and problem-solving, which will be beneficial for
future, more complex projects.

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 2. Objective
______________________________________________________________________________

The primary objective of developing a basic weather application as a college project is to bridge
the gap between theoretical knowledge and practical implementation in the field of application
development. Weather applications are among the most commonly used tools in daily life,
providing real-time information that helps individuals plan their activities efficiently. By
undertaking this project, I aim to understand the fundamental concepts of software development,
API integration, and user interface design, while also creating a functional product that
demonstrates my learning.

Educational Objectives

One of the key goals of this project is to enhance my understanding of programming languages
and frameworks commonly used in application development. Through this project, I seek to:

• Strengthen Programming Skills: By coding the weather app, I aim to improve my

proficiency in languages such as Python, JavaScript, or Java (depending on the chosen
platform). This includes understanding syntax, logic building, and debugging.

• Learn API Integration: Modern applications often rely on external data sources.
Integrating a weather API (such as OpenWeatherMap or WeatherAPI) will help me learn
how to fetch, process, and display data from third-party services.

• Understand Data Handling: Handling JSON or XML data formats, parsing responses, and
managing asynchronous data flows are essential skills in app development. This project
gives me the opportunity to practice these concepts hands-on.

• Develop UI/UX Skills: Designing a simple, intuitive user interface is crucial for any
application. Through this project, I aim to learn the basics of UI/UX design, ensuring that
the app is easy to use and visually appealing.

• Practice Version Control: By using tools like Git, I will learn how to manage code
versions, collaborate with others (if applicable), and maintain a clean development
workflow.

2
Technical Objectives

From a technical standpoint, the weather app project is designed to achieve several specific
goals:

• Fetch and Display Weather Data: The core functionality of the app is to allow users to
enter a city name and receive current weather information such as temperature, humidity,
weather description, and wind speed.

• Ensure Basic Error Handling: The app should handle common errors gracefully, such as
invalid city names, network issues, or API errors, and provide appropriate feedback to
users.

• Maintain Code Readability and Modularity: The codebase should be organized into
logical modules or functions, making it easy to read, maintain, and extend in the future.

• Optimize Performance: While the app is basic, it should load data efficiently and provide
a smooth user experience without unnecessary delays.

• Cross-Platform Compatibility (if applicable): If developed as a web app, it should be

responsive and work well on both desktop and mobile browsers.

User-Centric Objectives

A successful application is one that meets the needs of its users. For this project, the user-centric
objectives include:

• Simplicity: The app should have a clean and straightforward interface, making it easy for
users to check the weather without confusion.

• Accessibility: The design should consider accessibility features, such as readable font
sizes and sufficient color contrast, to ensure usability for all users.

• Reliability: Users should be able to trust the app to provide accurate and timely weather
information.

• Feedback Mechanisms: The app should inform users when data is loading, if there is an
error, or if the requested city is not found.

3
Personal Development Objectives

Beyond technical and educational goals, this project also aims to foster personal growth and
professional development:

• Problem-Solving: Encountering and overcoming challenges during development will

improve my problem-solving skills and resilience.

• Time Management: Managing the project timeline, setting milestones, and meeting
deadlines will enhance my organizational abilities.

• Communication: Documenting the project and possibly presenting it to peers or

instructors will strengthen my communication and presentation skills.

• Creativity: Designing the app’s interface and thinking of ways to improve user experience
will encourage creative thinking

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 3. Problem Statement
______________________________________________________________________________

In today’s fast-paced world, access to accurate and timely weather information is essential for
planning daily activities, travel, and outdoor events. Despite the availability of advanced weather
applications, many users—especially students and beginners in programming—face challenges
in understanding how such applications work or in building their own simple versions. Most
existing weather apps are either too complex for beginners to analyze or require significant
resources and technical expertise to develop.

There is a need for a basic, easy-to-use weather application that demonstrates the
fundamental concepts of application development, data fetching from external sources, and user
interface design. Such an application should allow users to quickly check the current weather
conditions for any city by entering its name, without overwhelming them with unnecessary
features or complicated navigation.

The main problem addressed by this project is the lack of simple, beginner-friendly weather
apps that can serve as both a practical tool for users and a learning platform for students. The
project aims to bridge this gap by creating a basic weather app that:

• Provides real-time weather information for user-specified locations.

• Demonstrates core programming concepts such as API integration, data parsing, and error
handling.

• Features a straightforward and intuitive user interface suitable for everyday use and
educational purposes.

By developing this application, the project seeks to make weather information more accessible
while also offering an educational resource for students interested in application development.
This will help users plan their activities better and empower students to gain hands-on experience
in building functional, real-world software solutions.

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 4. Software Requirements Specification (SRS)
______________________________________________________________________________

1. Software Requirements

Software Component Specification/Details

Operating System Windows 7/8/10/11, Mac OS, Linux

Programming Languages HTML, CSS, JavaScript (for web); Python or

Java (optional/backend)
Code Editor Visual Studio Code, Sublime Text, Atom

Web Browser Google Chrome, Mozilla Firefox, Microsoft

Edge

API OpenWeatherMap API key (for weather data

fetching)
Version Control Git
Android Toolkit (optional) Android Development Toolkit (for Android
app development)
Backend Framework (optional) Node.js (JavaScript)

Table no:-4.1

2. Hardware Requirements

Hardware Component Specification/Details

Processor Intel Core i3 or above

RAM Minimum 256 MB (recommended 2 GB or
more)

Hard Disk Minimum 4 GB free space (recommended 40

GB or more)
Display Standard monitor or laptop screen
Internet Stable internet connection (for API
access/testing)
Table no:-4.2

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 5. Context Flow Diagram
______________________________________________________________________________

Figure no:-5.1

7
 6. Data Flow Diagram (DFD)
______________________________________________________________________________

Data Flow Diagram Level 1

Figure no:-6.1

Entities and Processes

External Entities:

• User: The person using the weather app.

• Weather API: The external service providing weather data.

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Processes:

1.1: Input City Name

1.2: Validate Input

1.3: Request Weather Data

1.4: Receive & Parse Weather Data

1.5: Display Weather Information

Data Stores (optional for a basic app):

Not typically used in a very basic weather app, but you could include a simple log or history
store if needed.
Data Flow Steps

1.1 Input City Name

• User enters the name of the city for which they want weather information.

• The app captures this input and sends it to the next process.
1.2 Validate Input

• The system checks if the entered city name is valid (e.g., not empty, contains only
letters).

• If the input is invalid, the system prompts the user to enter a valid city name.

• If valid, the city name is sent to the next process.

1.3 Request Weather Data

• The app constructs a request using the validated city name.

• It sends this request to the Weather API over the internet.

1.4 Receive & Parse Weather Data

• The Weather API responds with weather data (usually in JSON format).

• The app receives this response and parses the necessary information (temperature,
humidity, description, etc.).

1.5 Display Weather Information

• The parsed weather data is displayed to the User in a simple, readable format on the app
interface.

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Data Flow Diagram Level 2

Figure no:-6.2

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Users

The process starts with the user entering a location or query (e.g., city name) for which they want
to check the weather.

• Check for Empty Input

▪ The system checks if the user has submitted an empty field.

▪ If empty: It redirects to an error handling mechanism that sends a message back to the
user like “Please enter a location.”

• 1.2.2 Check for Valid Characters

▪ Verifies the input contains valid characters (e.g., no special symbols like @, #).

▪ If invalid: The process routes to:

• 1.2.3 Error Handling

▪ Generates a relevant error (e.g., “Invalid characters in location name”) and sends it
back to the user.

• 1.3.1 Build API Request

▪ Constructs the appropriate request URL using the valid input.

▪ This may include formatting parameters like:

▪ Location name
▪ Units (Celsius/Fahrenheit)

▪ API key

• 1.3.2 Send Request to Weather API

▪ Sends the request to a third-party weather API (e.g., OpenWeatherMap,
WeatherStack).

▪ Data sent includes location, API key, etc.

• 1.3.3 Handle API Response

▪ Waits for the weather API to respond with current weather data.

▪ The response may include:

▪ Temperature
▪ Humidity

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 ▪ Wind speed

▪ Weather condition (e.g., Rain, Clear)

• 1.4.1 Extract Weather Attributes

▪ Parses the API response and extracts only necessary data fields.

• 1.4.2 Format Data for Display

▪ Converts the raw data into human-readable format:

▪ e.g., “It’s 28°C and partly cloudy in Mumbai.”

• 1.5.1 Show Weather Data

▪ Displays formatted weather details on the screen for the user to see.

• 1.5.2 Show Error Messages (if needed)

▪ If something goes wrong at any point (e.g., network error, invalid city), appropriate
error messages are generated and shown to the user.
User (again)

Process ends when the user receives either weather information or an error message, and they
may try again.

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 7. Entity Relationship Diagram (ER - Diagram)
______________________________________________________________________________

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 8. Snapshot of the Project
______________________________________________________________________________

Home Page

Figure no:-8.1

Figure no:-8.2

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Figure no:-8.3

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 9. Conclusion
______________________________________________________________________________

The development of the weather app project has successfully achieved its primary objective: to
provide users with accurate, real-time weather information in a simple and accessible format.
Throughout the project, I have gained practical experience in integrating APIs, designing user-
friendly interfaces, and implementing error handling to ensure a smooth user experience. The app
allows users to search for any city and instantly receive weather details such as temperature,
humidity, wind speed, and weather description, addressing the common need for quick and
reliable weather updates.

One of the key strengths of this project is its intuitive interface, which enables users to easily
navigate and obtain the information they need without unnecessary complexity. The use of real-
time data ensures that the information presented is current and relevant, helping users make
informed decisions about their daily activities and travel plans. The project also emphasized the
importance of responsive design, making the app accessible across various devices and screen
sizes.

During the development process, several challenges were encountered, particularly in

handling API errors and ensuring consistent performance across different network conditions.
These challenges provided valuable learning opportunities, allowing me to improve my problem-
solving skills and deepen my understanding of application development best practices. Testing
and debugging were integral parts of the project, ensuring the reliability and stability of the app.

User feedback and performance testing highlighted the app’s strengths in real-time updates,
ease of use, and reliability. Suggestions for future improvements included adding features such
as extended forecasts, radar maps, and personalized notifications, which can be considered for
subsequent versions to enhance the app’s functionality and user engagement.

In conclusion, this weather app project not only fulfills its intended purpose but also lays a
solid foundation for further enhancements and learning. It demonstrates the effectiveness of
combining practical coding skills with thoughtful design to solve real-world problems. The
experience gained from this project will be invaluable for future software development
endeavors, and the app itself serves as a useful tool for anyone seeking timely and accurate
weather information

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 10. Limitations
______________________________________________________________________________

1. Reliance on External APIs: The app depends on third-party weather APIs for data. If the
API is down or changes its structure, the app may not function properly.

2. Limited Data Accuracy: Weather data accuracy is subject to the reliability and precision
of the source API. Errors or delays in the API can lead to inaccurate forecasts.

3. Geographical Coverage Gaps: Some APIs do not provide comprehensive data for all
regions, resulting in incomplete or unavailable weather information for certain cities or
countries.

4. API Rate Limiting: Most weather APIs restrict the number of requests per minute/hour.
Exceeding these limits can cause the app to stop fetching new data temporarily.

5. No Offline Functionality: The app requires an active internet connection to fetch weather
data, making it unusable without network access.

6. Basic Feature Set: As a basic app, advanced features like radar maps, severe weather
alerts, or multi-day forecasts are not included.

7. No Historical Data: The app typically does not provide access to past weather data or
trend analysis.

8. Limited Personalization: Users may not be able to customize notifications, save favorite
locations, or receive tailored alerts.

9. Device and Network Dependency: Performance can be affected by slow devices or poor
network conditions, leading to delays or app crashes.

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10. Security and Privacy Risks: If the app collects user location or personal data, there is a
risk of data breaches or misuse if not properly secured.

11. No Multi-language Support: The app may only be available in one language, limiting
accessibility for non-English speakers.

12. UI/UX Limitations: As a student project, the user interface may lack polish, accessibility
features, or responsiveness across devices.

13. Inability to Handle Rapid Weather Changes: The app may not update quickly enough to
reflect sudden or localized weather events, leading to outdated information.

14. No Integration with Other Services: The app does not connect with calendars, travel apps,
or home automation systems for enhanced user experience.

15. Limited Error Handling: The app may not gracefully handle all types of errors, such as
invalid city names, API failures, or unexpected data formats, which can confuse users

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 11. Future Scope
______________________________________________________________________________

1. AI-Driven Forecasting: Integrate artificial intelligence and machine learning to improve

the accuracy of weather predictions, analyze large datasets, and provide smarter, more
personalized forecasts for users.

2. Hyper-Local Predictions: Advance the app to offer street-level or neighborhood-specific

weather updates, using high-resolution datasets for precise, real-time information.

3. Smart Weather Suggestions: Implement features that analyze user behavior and patterns
to offer tailored advice, such as the best time for outdoor activities or travel, based on
predicted weather conditions.

4. Augmented Reality (AR) Visualization: Use AR to allow users to visualize weather

conditions in their immediate surroundings, enhancing user engagement and
understanding.

5. Integration with Smart Devices: Expand compatibility with voice assistants (e.g., Alexa,
Google Assistant) and smart home devices, allowing users to receive weather updates
through various platforms and automate home responses to weather changes.

6. Personalized Notifications: Enable users to set up custom alerts for severe weather, air
quality, UV index, or pollen counts, making the app more relevant to individual health
and safety needs.

7. Offline Functionality: Develop offline capabilities so users can access essential weather
information even without an internet connection, which is especially valuable during
emergencies.

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8. Social Sharing and Crowdsourcing: Allow users to share real-time weather reports and
conditions, creating a community-driven platform for more accurate, crowdsourced
insights.

9. Gamification: Introduce badges, rewards, or challenges to encourage regular use and

community participation, making the app more interactive and engaging.

10. Educational Content: Provide explanations of weather phenomena, climate science, and
forecasting methods to educate users and increase environmental awareness.

11. Business and Industry Solutions: Adapt the app for sectors like agriculture, logistics, and
event planning, offering specialized tools and analytics for weather-dependent operations.

12. Enhanced Data Security: Adopt blockchain or advanced encryption to ensure the
authenticity and privacy of weather data, complying with evolving regulations and user
expectations.

13. Cross-Platform and Foldable Device Support: Optimize the app for various devices,
including foldable phones and tablets, ensuring seamless user experiences across all
platforms.

14. Integration with Other Services: Link weather data with calendars, travel apps, or local
event schedules to provide a holistic view and help users better plan their activities.

15. Sustainability and Environmental Impact: Include features that promote eco-friendly
choices, such as alerts for optimal energy use or water conservation based on weather
trends.

16. Continuous Learning and Adaptation: Regularly update the app to incorporate the latest
forecasting models, user feedback, and technological advancements, ensuring it remains
relevant and competitive

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 12. Bibliography
______________________________________________________________________________

1. Weather App Project Report. (2025). Scribd. Retrieved from

https://www.scribd.com/document/687737930/Weather-App-project-report

2. Weather app project report. (2025). Scribd. Retrieved from

https://www.scribd.com/document/736825361/Weather-app-project-report

3. Kumar Bharti, G., Ranjan, A., Bharat, A., & Yadav, S. (2022). Design and Development
of an Efficient and Intelligent Weather Forecasting App. In: ATDE221281, IOS Press.
Retrieved from https://ebooks.iospress.nl/pdf/doi/10.3233/ATDE221281

4. A Data Model for a Weather App. (2018). Vertabelo Data Modeler Blog. Retrieved from
https://vertabelo.com/blog/a-data-model-for-a-weather-app/

5. Visual Crossing Weather Data Service. (2025). How to properly cite or attribute the
weather data in my project. Retrieved from
https://www.visualcrossing.com/resources/documentation/weather-data/how-to-i-
properly-cite-or-attribute-the-weather-data-in-my-project-to-visual-crossing-weather/

6. Bibliographies: 'Weather forecast'. (2025). Grafiati. Retrieved from

https://www.grafiati.com/en/literature-selections/weather-forecast/

7. Weather and Forecasting citation style. (2018). Paperpile. Retrieved from

https://paperpile.com/s/weather-and-forecasting-citation-style/

8. Lucidchart ERD Guide. (n.d.). How to Create an ER Diagram. Retrieved from

https://www.lucidchart.com/pages/er-diagram-symbols

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