How much does it take to build a mobile application in Nepal in 2024?

Adit Malakar
January 4, 2024
8 minutes min read
Introduction In today’s digital era, People consider mobile phones as necessary as a wallet or handbag. Mobile applications have become integral to our daily lives, catering to various needs and enhancing convenience. Nepal Mobile App Development landscape has seen substantial growth and evolution over the years. With the increasing reliance on mobile devices, the demand […]

Introduction

In today’s digital era, People consider mobile phones as necessary as a wallet or handbag. Mobile applications have become integral to our daily lives, catering to various needs and enhancing convenience. Nepal Mobile App Development landscape has seen substantial growth and evolution over the years. With the increasing reliance on mobile devices, the demand for innovative and functional applications continues to surge.

Understanding Mobile App Development

Mobile app development creates applications specifically designed to run on mobile devices, such as smartphones or tablets. It involves software development, design, testing, and deployment to produce applications that cater to the functionalities and user experiences unique to mobile platforms.

Various aspects are involved in mobile app development:

Platform Selection: Developers choose the platforms for which they’ll create the app, such as iOS (Apple devices) or Android (Google devices). Sometimes, apps are developed for both platforms simultaneously (cross-platform development).

Coding and Programming: Developers use programming languages like Swift or Objective-C for iOS and Java or Kotlin for Android. Cross-platform frameworks like React Native, Flutter, or Xamarin are popular as they allow building apps for multiple platforms using a single codebase.

Design and User Interface (UI/UX): Designing an intuitive and visually appealing interface is crucial for user engagement. This involves creating wireframe mockups and then implementing the design into the app.

Testing: Thorough testing is essential to ensure the app functions appropriately on different devices and under various conditions. This includes functional testing, usability testing, performance testing, and more.

Deployment: Once the app is developed and tested, it’s submitted to the respective app stores (Apple App Store, Google Play Store, etc.), where users can download and install it on their devices.

Updates and Maintenance: Apps require continuous updates to fix bugs, introduce new features, and adapt to evolving technology or user needs. This ongoing maintenance is crucial for the app’s success.

Types of Mobile Applications:

Native mobile apps: For a specific operating system, like the IOS or Android phones, they’re designed to run on one platform and can be written in an individual programming language. Because they are created to work on a specific operating system or platform, native mobile apps are faster, more reliable, and capable of being offline.

HTML5 Mobile Apps: These apps allow you to benefit from the write-once-runanywhere method. HTML 5 is the most commonly used method for creating simple applications. It is highly effective and affordable to use cross-platform HTML5 mobile apps.

Hybrid Mobile Apps: These apps have native viewer functionality and back-end programming.

Some of the top apps in the world, including Gmail, Twitter, Amazon, and others, are hybrid applications. Hybrid apps can use plugins that give developers access to a platform’s native capabilities. They also develop more quickly and require less maintenance.

Mobile App Development Cost In Nepal

In Nepal, making mobile apps is quite a big deal right now, and people often wonder how it’s done and how much it costs. Developing an app can start at around Rs. 8,000 and go up from there, depending on the app’s needs.

First, making an app look good (UI/UX design) might cost about Rs. 8,000 for simple ones. But if you want it to look super fancy, that can be around Rs. 20,000. Then come the technical parts that make the app work behind the scenes (backend), which can bump the cost up to Rs. 40,000.

After building the app, checking and testing it (QA) to ensure it works well can add another Rs. 30,000 to the bill. Once it’s out there, maintaining and supporting the app could cost around Rs. 12,000 yearly. Plus, there are fees to put the app on the Appstore and Playstore – $99 for Appstore and $25 for Playstore.

If you’re thinking of making a specific app, like an online store (E-Commerce), that might cost around Rs. 1.5 lakh for both Android and iOS. Apps for things like food delivery or ones that are super easy to use might cost about Rs. 2.5 lakhs. Some popular apps like Pathao, Foodmandu, and Daraz started in these cost ranges and grew big over time.

The cool thing is, even though these costs give you a rough idea, they can change based on how complex the app is and what it needs. 

Here is an estimated price list of some of the apps you might consider developing:

Type of Mobile App Approximate CostDevelopment Time
Social Chat/Social Media App20 Lakh – 25 Lakh2-6 months
E-Learning App1 Lakh – 2.5 Lakh2-8 months
Fintech App1 Lakh – 2.5 Lakh2-6 months
Healthtech App1 Lakh – 2.5 Lakh2-6 months
Food Aggregator App2 Lakh – 4.5 Lakh1-4 months
Enterprise App1 Lakh – 2.5 Lakh3-8 months
Mobile Games2 Lakh – 4 Lakh2-7 months
Mobile Commerce App1 Lakh – 2.5 Lakh1-7 months
Media Streaming App50 Thousand – 1 Lakh1-6 months
Cab Booking App3 Lakh – 5.5 Lakh2-6 months
Multi-vendor e-commerce App50 Thousand – 5 Lakh2-6 months
E-Commerce App20 Thousand – 50 Thousand1 month
News Portal App20 Thousand – 50 Thousand1 month
Tourism Apps20 Thousand – 50 Thousand1 month
School College App20 Thousand – 50 Thousand1 month
Gold Silver Rate App10 Thousand – 50 Thousand1 month
Informative App20 Thousand – 30 Thousand1 month
Online TV/Radio App30 Thousand – 1 Lakh1 month

Conclusion

In conclusion, building a mobile application in Nepal in 2024 involves various factors contributing to the time and cost. From conceptualization to development and deployment, numerous elements impact the overall investment. Factors such as complexity, features, design, platform, and expertise play a pivotal role in determining the timeline and budget for your app project.

In these considerations, selecting the right development partner becomes crucial. This is where we at The Value Crew stand out. Our goal is simple: to offer more than just an app. We believe in creating experiences that exceed expectations. Our team is dedicated to delivering value that goes beyond numbers—it’s about crafting apps that resonate with users. We’re here to navigate the complexities of app development costs while ensuring you get the best value for your investment.

Head over to our website https://thevaluecrew.com/ and message us to get started. Email us at [email protected] or call us at +977-9843418300 to begin building your dream app. We are excited to get your project like it’s our project.

Adit Malakar Digital Whiz

Adit Malakar is the content whiz for the value crew. Having worked as a digital content creator, he understands how to make a post successful. Apart from content creation he loves playing video games, reading and watching quality tv shows.

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Comparing ChatGPT 3.5 vs ChatGPT 4.0: What’s the Difference?

Adit Malakar
May 12, 2023
6 minutes min read
In this blog, we will explore two of the latest models in the GPT series - GPT-3.5 and GPT-4.0, their differences, and when to use each one.

Keypoint:
GPT-4 is more intelligent than GPT-3.5, can handle longer prompts and conversations, and makes fewer factual mistakes. GPT-3.5, on the other hand, generates responses more quickly and does not have the hourly prompt limitations that GPT-4 has.

Artificial intelligence and machine learning have made great strides in recent years, particularly in the field of natural language processing (NLP). One of the most significant advancements in this area has been the development of Generative Pretrained Transformer (GPT) language models. In this blog, we will explore two of the latest models in the GPT series – GPT-3.5 and GPT-4.0, their differences, and when to use each one.

What is ChatGPT?

Before diving into GPT-3.5 and GPT-4.0, let’s first clarify what ChatGPT is. ChatGPT is a large language model trained by OpenAI based on the GPT-3.5 architecture. It is designed to understand natural language and generate responses that are coherent and relevant to the given prompts.

What is ChatGPT 3.5?

GPT-3.5 is a language model that is an extension of the original GPT-3 model. It was created by OpenAI to address some of the limitations of the earlier version. GPT-3.5 is capable of handling longer prompts and conversations, has better accuracy, and makes fewer factual errors. It is designed to be more intelligent and versatile, making it suitable for a wide range of applications.

What is ChatGPT 4.0?

GPT-4.0 is the next generation of language models in the GPT series. It is an even more advanced language model than GPT-3, with more than ten times the number of parameters. GPT 4.0 can process more data and generate more human-like responses.

GPT-3.5 vs GPT-4.0 – What’s the Difference?

The primary difference between GPT 3.5 and GPT 4.0 is the level of language processing and the amount of data they can process. GPT 4.0 has more than ten times the number of parameters compared to GPT 3.5, which means it can process more data and generate more human-like responses. GPT 4.0 is better at handling open-ended questions and generating creative and engaging responses.

1. Speed

In terms of speed, both models offer fast response times. However, GPT 4.0 is known to be slightly slower than GPT 3.5 due to its larger model size and complexity. Here’s an example when asked about an article about the relationship between humans and AI in the future. (GPT 3.5 left GPT 4.0 right)

2. Creativity And Coherence

While GPT-3.5 can generate creative content, GPT-4 goes a step further by producing stories, poems, or essays with improved coherence and creativity. For example, GPT-4 can produce a short story with a well-developed plot and character development, whereas GPT-3.5 might struggle to maintain consistency and coherence in the narrative. Here both of them are given a task to write a complex story about, about a team of thieves who enter people’s dreams to steal their secrets. (GPT 3.5 left GPT 4.0 right)

3. Programming

For coding tasks, GPT 4.0 typically outperforms GPT 3.5. It’s more proficient at understanding complex coding problems and generating accurate solutions. This improvement is a result of the enhanced training methodologies and a more expansive dataset used in GPT 4.0. With the help of GPT-4, weeks of work can be condensed into a few short hours, allowing extraordinary results to be achieved in record time.

4. Image And Graphics Understanding

Unlike GPT-3.5, which focuses primarily on text, GPT-4 can analyze and comment on images and graphics. For example, GPT-4 can describe the content of a photo, identify trends in a graph, or even generate captions for images, making it a powerful tool for education and content creation.

5. Hallucination

“Hallucinations” in AI context refer to instances where the AI generates information that isn’t based on the input provided or real-world facts. Both GPT 3.5 and GPT 4.0 are prone to such occurrences, but GPT 4.0 has been improved to reduce these instances significantly.

When should you use GPT 3.5 and 4.0

The choice between GPT 3.5 and GPT 4.0 largely depends on your specific needs. If your requirements are straightforward, like answering FAQs or guiding users through a simple process, GPT 3.5 might suffice. Its capabilities are robust enough for most general conversation tasks. However, if your requirements are more complex, involving intricate dialogues, deep context understanding, and nuanced responses, GPT 4.0 would be the better choice. Its advanced features allow it to handle sophisticated scenarios with more proficiency.

Conclusion

In summary, while GPT 3.5 and GPT 4.0 are both powerful AI models with a wide range of applications, GPT 4.0 offers notable improvements in terms of context understanding, response complexity, and overall performance. Ultimately, the choice between the two would depend on the complexity of the tasks at hand and the specific needs of your project or application.