DEV Community: Muthushivani

Improving UI/UX in a Real-World Application

Muthushivani — Mon, 31 Aug 2026 14:41:00 +0000

Introduction

While working on DoctPro, I got the opportunity to review the application's UI/UX and identify areas where the overall user experience could be improved.

Initially, I thought UI/UX was mainly about making a screen look attractive. But during this review, I understood that good UI/UX is also about consistency, clarity, usability, responsiveness, and feedback.

In this article, I’m sharing what I learned while reviewing and improving the DoctPro interface.

What I Reviewed

I reviewed different areas of the application, including:

Dashboard / Home
Profile
Jobs
Chat / Messages
Network / Content
Analytics
Navigation
Loading screens
Empty states
Responsive behaviour

The main goal was to identify visual and usability problems and suggest practical improvements.

1.Spacing Matters More Than I Expected

One of the first things I checked was spacing.

I looked for:

Too much space between sections
Very little space between elements
Unequal card spacing
Inconsistent padding
Different gaps between headings and content
Unbalanced left and right margins

Why is this important?

When spacing is inconsistent, the interface can feel unorganized even when all the components are technically correct.

My approach

I started comparing similar components and checking whether they followed a consistent spacing pattern.

For example:

Heading
↓ consistent gap
Content
↓ consistent gap
Next section

This made me realize that small spacing changes can have a big impact on the overall appearance.

2.Alignment and Consistency

The next area I focused on was alignment.

I checked:

Text alignment
Card alignment
Icons
Buttons
Images
Form fields
Navigation items

If two similar elements are not aligned properly, users can notice the difference even if they cannot explain exactly what looks wrong.

Improvement

My goal was to maintain a common alignment structure across the pages.

This included maintaining consistent:

Left and right margins
Component positions
Card widths
Text alignment
Section alignment

3.Typography

Typography is another important part of UI design.

I reviewed:

Font family
Font size
Font weight
Line spacing
Heading hierarchy

A professional application should clearly distinguish between:

Page Title

Section Title

Body Text

Secondary Information

Using too many font sizes or inconsistent font weights can make the interface difficult to scan.

4. Improving Loading States

One of the interesting areas I noticed was the loading experience.

A loading screen is not just a technical requirement. It is also part of the user experience.

Instead of using large dark placeholder blocks, a better approach is skeleton loading.

For example:

Jobs

Show a skeleton that looks like a job card.

Profile

Show an avatar and text skeleton.

Analytics

Show chart and statistic-card skeletons.

The idea is simple:

The loading state should give users an idea of what is coming next.

5.Empty States

A completely blank page can make users think that something is broken.

For example, if there are no network connections, instead of showing an empty screen:

No connections found

We can provide a short explanation:

Start building your professional network.

And provide an action such as:

Search People

This makes the application more informative and user-friendly.

6. Responsive Design

A design that looks good on a desktop may not necessarily work well on mobile.

So responsive behaviour should be checked for:

Mobile
Tablet
Desktop

I would check whether:

Cards overlap
Text gets cut off
Buttons move outside the screen
Images scale correctly
Navigation works properly
Excessive whitespace appears

Responsive design should be treated as part of the UI/UX review, not as a final afterthought.

7. Error and Success Feedback

Another important UX improvement is providing feedback to the user.

For example:

Loading

Loading your data...

Success

Profile updated successfully.

Error

Unable to load data. Please try again.

Empty

No results found.

Users should always have some indication of what happened after an important action.

8. Creating a Common Design System

One of my main recommendations for DoctPro is to maintain a common design system.

The application should have consistent rules for:

Fonts
Colours
Buttons
Cards
Input fields
Icons
Border radius
Spacing
Typography

This helps different pages feel like parts of one complete product.

9. UI/UX + Functional Testing

During the review, I also understood that UI/UX and functionality cannot always be treated separately.

For example, if a Network page is blank, we should not immediately assume that it is only a design problem.

We need to check:

Frontend → API → Backend → Database → UI

The problem could be:

Data not available
API not responding
Backend issue
Incorrect frontend handling
Loading state issue

This was an important learning point for me.

My Review Process

For each issue, I followed a simple process:

Identify the Issue
       ↓
Take Screenshot
       ↓
Mark the Issue
       ↓
Give Serial Number
       ↓
Explain the Problem
       ↓
Suggest a Correction
       ↓
Implement the Change
       ↓
Test the Function
       ↓
Review Again

I also documented the issues in a checklist so that corrections could be tracked systematically.

What I Learned

This experience taught me that UI/UX is not simply about making an application visually attractive.

I learned that a good interface should be:

Consistent
Easy to understand
Easy to navigate
Responsive
Accessible
Informative
Visually balanced

Most importantly, small improvements can make a noticeable difference in the overall user experience.

What's Next?

My next steps for the DoctPro UI/UX work are:

Complete page-by-page review
Fix spacing and alignment issues
Improve loading states
Improve empty states
Check responsive behaviour
Test functionality
Review error and success states
Perform a final UI/UX audit

Conclusion

Working on the DoctPro UI/UX review gave me a better understanding of how real-world applications are evaluated and improved.

The biggest takeaway for me is:

Good UI makes an application look better. Good UX makes an application easier to use. Great products need both.

Building a Password Reset API Using Flask and Postman

Muthushivani — Wed, 26 Aug 2026 12:31:43 +0000

Introduction
Password reset functionality is an essential feature in many login-based applications. When users forget their password, the application should provide a secure way to verify their identity and allow them to create a new password.

In this project, I built and tested a simple Password Reset API using Python Flask and Postman.

API Flow

The complete password reset process follows this flow:

Forgot Password → Email Verification → OTP Generation → OTP Verification → New Password → Password Reset

Technologies Used
Python
Flask
Postman
Random module

Project Structure
Password_Reset_API/
│
├── venv/
│
└── app.py

The app.py file contains the complete Password Reset API logic.

Step 1: Forgot Password API

Endpoint
POST /forgot-password

URL
http://127.0.0.1:5000/forgot-password

Request Body
{
"email": "test@gmail.com"
}

How It Works
When the user enters their email:

The API checks whether the user exists.
If the email is registered, a 6-digit OTP is generated.
The OTP is temporarily stored.
The API returns the generated OTP.

Successful Response
{
"message": "OTP generated successfully",
"email": "test@gmail.com",
"otp": 239753
}

The OTP will be different each time the API is called.

Step 2: Reset Password API

Endpoint
POST /reset-password

URL
http://127.0.0.1:5000/reset-password

Request Body
{
"email": "test@gmail.com",
"otp": 239753,
"new_password": "NewPassword@123"
}

The API then:

Checks whether the user exists.
Checks whether an OTP was generated.
Verifies the entered OTP.
Updates the user's password.
Deletes the OTP after successful use.
Successful Response
{
"message": "Password reset successfully"
}

Status Code:

200 OK
Error Cases Handled

User Not Found
{
"message": "User not found"
}

Status Code:404

OTP Not Generated
{
"message": "OTP not generated"
}

Status Code: 400

Invalid OTP

{
"message": "Invalid OTP"
}

Status Code: 400

Issues I Encountered During Testing

While testing the API, I faced a 404 Not Found error because the Flask server was started before all API routes were defined.

The solution was to place:

if name == 'main':
app.run(debug=True)

at the end of the file, after defining all API routes.

I also encountered an invalid JSON error when using:

"otp": YOUR_OTP

The correct approach was to replace YOUR_OTP with the actual numeric OTP generated by the Forgot Password API.

Final Result

After correcting the route issue and using the correct OTP, the Password Reset API worked successfully.

The final response was:

{
"message": "Password reset successfully"
}

with:

200 OK
What I Learned

Through this project, I learned how to:

Build REST APIs using Flask
Create and test API endpoints
Handle JSON requests and responses
Generate a 6-digit OTP
Temporarily store and verify OTPs
Update user passwords
Handle error responses
Test APIs using Postman

Future Improvements
For a production-level Password Reset API, I would like to add:

Database integration
Password hashing
OTP expiration time
Email delivery for OTPs
Secure token generation
Rate limiting
JWT authentication
Password strength validation
HTTPS security

Conclusion

This project helped me understand the practical workflow of API development and testing using Flask and Postman.

The current project is a basic learning and testing implementation, but it can be improved further by adding advanced security and database features.

Thank you for reading!

Python #Flask #Postman #API #APIDevelopment #BackendDevelopment #PasswordReset #OTP #WebDevelopment #LearningInPublic

Apple App Store Application Submission Guidelines

Muthushivani — Tue, 25 Aug 2026 10:28:07 +0000

Introduction
Publishing an application on the Apple App Store is an exciting step for any developer. However, building the app is only one part of the journey. Before an app can be published, it must go through Apple’s App Review process and follow the required guidelines.

In this blog, I’ll share the key things developers should prepare before submitting an application to the Apple App Store.

Make Sure Your App Is Fully Functional

Before submitting your app, test it thoroughly.

Check that:

The app does not crash.
All buttons and features work correctly.
There are no major bugs.
Links are working properly.
Placeholder or incomplete content has been removed.
The app has been tested on a real device.

Apple expects the submitted version to be complete and functional. Incomplete apps or apps with obvious technical issues can be rejected.

Provide Accurate App Information
Your App Store information should accurately represent your application.

Prepare the following:

App Name
Subtitle
App Description
Keywords -App Category
App Icon
Screenshots
Age Rating
Support URL
Privacy Policy URL Screenshots and descriptions should clearly show what your application actually does.

Focus on User Privacy
Privacy is one of the most important parts of App Store submission.

Your app should have a clear Privacy Policy explaining:

What user data is collected
Why the data is collected
How the data is used
Whether the data is shared with third parties
How users can request data deletion

Also, request only the permissions that are necessary for your app's functionality.

For example:

Camera
Microphone
Location
Photos
Contacts

Every permission request should have a clear purpose.

Provide a Demo Account for App Review

If your application requires users to log in, Apple’s App Review team should be able to access the application.

You may need to provide:

Username: demo@example.com
Password: Demo@123

If your app has special features or steps that are not obvious, explain them clearly in the App Review Notes.

Also, make sure that your backend services are active during the review process.

Follow Apple's Payment Rules

If your application sells digital products, premium features, subscriptions, or digital content, you must follow Apple’s payment guidelines.

Examples include:

Premium features
Digital content
Subscriptions
Virtual items
Game currencies

Always provide clear information about pricing, subscriptions, and renewal terms.

Create a Good User Experience

Apple values applications that are simple, refined, useful, and easy to use.

Your app should have:

A clean user interface
Easy navigation
Clear content
Consistent design
Meaningful functionality
Good performance An application should provide more value than simply displaying a website inside a mobile app.

Build Something Original

Avoid copying another application's:

Name
Logo
User interface
Brand identity
Functionality

Your application should provide a useful and meaningful experience.

Complete the Final Submission Checklist

Before submitting your app, make sure you can check all of these:

The app is fully functional
There are no major crashes or bugs
All features have been tested
Backend services are active
App information is complete
Screenshots accurately represent the app
Privacy Policy is available
Permissions are clearly explained
Demo login details are provided if required
App Review Notes are completed
Payment features follow Apple's guidelines
All links are working

Final Thoughts

A successful App Store submission is not only about developing a great application. Developers should also focus on app quality, privacy, accurate information, user experience, and compliance with Apple's guidelines.

Taking time to review everything before submission can help reduce delays and improve the chances of a smooth App Review process.

Key areas to remember:

1. App Functionality
2. User Privacy
3. Accurate App Information
4. Good UI/UX
5. Apple Guideline Compliance Happy building and submitting!

This article is based on the Apple App Review Guidelines shared for reference. Always review the latest official guidelines before submitting your app.

Build and Test a Login API Flow Using Python and Flask

Muthushivani — Sat, 22 Aug 2026 11:42:01 +0000

Introduction
Building my first Login API using Python and Flask was a great hands-on experience. Through this task, I learned how a backend API receives a request, validates user input, verifies credentials, and returns an appropriate response.
In this blog, I’m sharing the complete process of how I built and tested the Login API.

Project Goal
The goal of this project was to build a simple Login API that can:
• Accept email and password
• Validate the request
• Verify user credentials
• Return JSON responses
• Handle invalid requests
• Use appropriate HTTP status codes
• Test different API scenarios

Technologies I Used
• Python
• Flask
• REST API
• JSON
• Thunder Client
• GitHub

Project Structure
I organized the project with a simple and clean structure:
login-api/
│
├── app.py
├── requirements.txt
├── README.md
│
├── routes/
│ ├── init.py
│ └── auth.py
│
└── services/
├── init.py
└── user_service.py
Separating the routes and service logic makes the project easier to understand and maintain.

Step 1:Creating the Flask Application
I created app.py as the main entry point of the application.
The Flask application initializes the server and registers the authentication route.
After running the application, the API was available locally at:
http://127.0.0.1:5000

Step 2:Creating the Login Endpoint
I created a Login API using the POST method.
Endpoint:
POST /login
The API accepts email and password as JSON data.
Example request:
{
"email": "admin@gmail.com",
"password": "admin123"
}

Step 3:Request Validation
Before checking the credentials, the API validates the incoming request.
For example, when an empty request body is sent:
{}
The API returns:
{
"success": false,
"message": "Request body is required"
}
If the email or password is missing:
{
"success": false,
"message": "Email and password are required"
}
This helped me understand the importance of validating user input before processing a request.

Step 4: Credential Validation
I created a separate service layer in user_service.py to validate the login credentials.
The service checks whether the provided email and password match the configured credentials.
This separation helped me understand how API routes and business logic can be organized independently.

Step 5: Successful Login
When the correct credentials are provided, the API returns:
{
"success": true,
"message": "Login successful",
"user": {
"email": "admin@gmail.com"
}
}
The API returns HTTP 200, indicating that the login was successful.

Step 6: Invalid Credentials
When incorrect credentials are provided, the API returns:
{
"success": false,
"message": "Invalid email or password"
}
The API returns HTTP 401 for invalid credentials.

Step 7: Testing the API
After completing the API, I tested it using Thunder Client.
I tested different scenarios:
Test Scenario Result
Valid email and password ✅ Login successful
Empty request body ✅ Validation handled
Missing email/password ✅ Validation handled
Invalid credentials ✅ Error handled
Testing multiple scenarios helped me make sure that the API was not only working for successful login but was also handling invalid inputs correctly.

Step 8: Documentation
I created a README.md file to document the project.
The documentation includes:
• Project overview
• Features
• API endpoint
• Request body
• Response examples
• Technologies used

Complete Login API Flow
The complete flow of my API is:
Client
↓
POST /login
↓
Request Validation
↓
Email & Password Validation
↓
Credential Verification
↓
Success / Error Response

What I Learned
This project helped me understand the basic workflow of backend API development.
I learned how to:
• Build a REST API using Flask
• Handle POST requests
• Work with JSON data
• Validate user input
• Handle authentication logic
• Use HTTP status codes
• Test APIs using Thunder Client
• Structure a Flask project
• Document and maintain a project using GitHub

Final Thought
This project was a valuable hands-on experience for me because I was able to understand the complete flow of building and testing an API rather than just writing individual pieces of code.
It also helped me understand that a good API is not only about functionality. Validation, error handling, testing, documentation, and clean project structure are equally important.
I'm excited to continue learning Python, Flask, and backend development by building more real-world projects.

Automation API Analysis: Understanding Email Automation

Muthushivani — Thu, 20 Aug 2026 14:45:07 +0000

Introduction

In today’s applications, sending emails manually can take a lot of time, especially when there are many users and transactions. Email automation helps solve this problem by automatically sending emails when a specific event or condition occurs.

In this blog, I have explored how email automation works, how different APIs are involved in the process, and how these APIs work together to send the right email at the right time. I have also analyzed the important APIs used in email automation and identified the top three APIs based on their importance and role in the automation process

What is Email Automation?

Email automation is a process of sending emails automatically without a person having to send them manually. The email is sent when a particular event, condition, or scheduled time is reached.

Email automation is commonly used for order confirmations, payment updates, password resets, reminders, and notifications. It helps reduce manual work and allows applications to send the right information to users at the right time.

How Does Email Automation Work?

Email automation works by connecting different systems and APIs.

When an event happens, such as a customer placing an order, the automation system receives the information and processes it. It may check the payment status using a Payment API and get customer or order details using other APIs.

After processing the required information, the system uses an Email API or email service to send the appropriate email to the customer.

The basic flow can be represented as:

Customer Action → Automation → APIs → Email API → Customer Email
For example, when a customer places an order, the system can check the customer details, order details, and payment status. Based on this information, the Email API can send an appropriate email to the customer.

APIs Involved in Email Automation
Different APIs can be involved in an email automation system. Each API provides specific information or services required for the automation process.

Email API
Customer/User API
Order API
Payment API
Authentication API
Invoice API
Notification API
Shipping/Delivery API
Subscription API
Analytics API

Paid APIs
The following APIs may involve payment depending on the service provider, usage, and available plans:

Email API
Payment API
Shipping/Delivery API
Analytics API
Notification API

Non-Paid / Free APIs
The following APIs may be available without payment or may provide free access depending on the service provider and usage limits:

Customer/User API
Order API
Authentication API
Invoice API
Subscription API

API pricing can vary depending on the provider, plan, features, and usage limits. Therefore, it is important to check the pricing details of each API before using it.

Top 3 Most Important APIs in Email Automation
1. Email API
The Email API is one of the most important APIs in email automation. It is responsible for sending automated emails to customers based on specific triggers and conditions.

2. Customer/User API
The Customer/User API provides the recipient's details, such as the customer's name and email address. This information helps the system identify the correct customer and send the email to the appropriate recipient.

3. Payment API
The Payment API provides payment status and transaction information. This information can be used to trigger payment-related emails, such as payment confirmations or payment updates.

Conclusion
Email automation works by connecting different systems and APIs to process information and send emails automatically. Different APIs, such as Email, Customer/User, Order, Payment, Authentication, Invoice, Notification, Shipping/Delivery, Subscription, and Analytics APIs, can be involved in the process.

Among these APIs, the Email API, Customer/User API, and Payment API are the top three important APIs for email automation because they help send emails, provide customer information, and provide payment-related information.

Understanding how these APIs work together helps in building an effective and automated email communication system.

Understanding Chatbots and API Integration: Building a Better Support Experience

Muthushivani — Thu, 20 Aug 2026 13:22:35 +0000

Introduction

A chatbot is a software application that allows users to interact with a website or application through a conversation-based interface. Today, chatbots are widely used by companies to provide quick support, answer common questions, guide users, and improve the overall user experience. Instead of searching through different pages of a website, users can simply type their questions and get relevant information through the chatbot.

For a company website like DoctPro, a chatbot can act as a first-level support system. It can help users find information about the application, job opportunities, contact details, partnerships, and other commonly requested services.

Why Do We Use Chatbots?

The main purpose of a chatbot is to make information easily accessible to users. A well-designed chatbot can provide support 24/7 without requiring a human representative to answer every basic query.

Some common benefits of chatbots include:

Providing instant responses to users
Reducing repetitive support requests
Guiding users to the correct page or service
Improving website user experience
Providing support outside working hours
Connecting users with the appropriate team when human support is required

For example, if a user wants to know how to download the DoctPro application, the chatbot can directly provide the required information or redirect the user to the appropriate download page.

How Does a Chatbot Work?

A chatbot generally works through a simple communication flow. First, the user enters a message through the chatbot interface. The message is then processed by the chatbot system. Based on the user's input, the system identifies the required action and generates an appropriate response.

A basic chatbot workflow can be understood as:

User → Chatbot Interface → Backend/API → Processing → Response → User

The chatbot interface is responsible for receiving the user's message, while the backend processes the request and decides what response should be returned.

Common Chatbot Use Cases

Chatbots can be used in many areas depending on the requirements of an organization. Some common use cases include customer support, job search assistance, application guidance, frequently asked questions, contact support, product information, and lead generation.

For a company website, quick-action options such as Download App, Job Search, Contact Us, and Partner With Us can help users reach the required information without typing everything manually.

What Is an API?

API stands for Application Programming Interface. It acts as a communication layer between two different software applications.

For example, when a user sends a message through a chatbot, the chatbot may send that message to a backend API. The API processes the request and returns the required information to the chatbot. The chatbot then displays the response to the user.

In simple terms:

Chatbot → API Request → Backend Processing → API Response → Chatbot

APIs are therefore very important when building a chatbot that needs to communicate with external services or backend systems.

How APIs Can Be Integrated With a Chatbot

API integration can make a chatbot more useful and dynamic. Instead of providing only fixed responses, the chatbot can communicate with backend services and retrieve real-time information.

For example, a chatbot can use an API to:

Search for available jobs
Retrieve application information
Submit user enquiries
Send contact requests
Connect with support systems
Trigger email notifications
Retrieve information from a database

When a user sends a message, the chatbot can send the required data to the API. The API processes the request and sends a response back. The chatbot then displays that response to the user.

Improving a Website Chatbot

While testing a website chatbot, it is important to check whether the complete conversation flow works correctly. The chatbot should not only open successfully but should also respond properly when the user enters a message.

Important areas to check include the chatbot opening behaviour, welcome message, quick-action buttons, user message handling, API connection, response generation, error handling, and mobile responsiveness.

For example, if a user types "Hello" and presses the send button, the chatbot should return an appropriate response instead of remaining blank. Similarly, when a user selects an option such as Job Search or Contact Us, the chatbot should perform the expected action.

Conclusion

Chatbots are an effective way to improve communication between a company and its users. A properly implemented chatbot can provide instant support, guide users to the right information, and reduce repetitive work for support teams. By integrating APIs, the chatbot can become more powerful by communicating with backend services, databases, email systems, and other applications.

Therefore, when developing or improving a website chatbot, it is important to consider not only the chatbot interface but also the complete workflow, API integration, response handling, error handling, and user experience. A well-connected chatbot can provide a faster, simpler, and more reliable support experience for website users.