According to one report, the global market size for AI is predicted to reach $1,597.1 billion by 2030, with an estimated CAGR of 38.1 percent. With the speed at which AI is spreading its wings, there is no second thought that no industry that won’t be left affiliated with AI. It is one reason businesses invest in building AI apps that can reach a wider audience. Today, every other electronic product you use carries AI. For instance, the smart home system learns your daily routine and adjusts home temperature, lighting, sound system, and other products accordingly. Similarly, using an AI-built app for your business purpose is one way of giving a personalized experience to the end users.
Companies that use AI in their apps have a competitive advantage and raise the bar for creativity and customer interaction. However, developing an AI app is not simple, causing companies to ponder how to develop an AI app that can achieve the desired result and have a significant influence.
This blog offers insight into the steps involved in building AI applications, core components, and the overall cost involved.
How to Build an AI App? Step-by-Step Guide
Building AI applications is quite a complex procedure that demands the latest tools and effective strategies. However, following a streamlined process will guide you in building AI applications effectively.
Below are steps on how to build an app that uses AI:
- Defining Objectives and Identifying Problems
The very first step in building an AI app is to find the precise problem you want to solve. This entails being aware of the requirements and issues that your audience faces. Once you identify the problem, establish the goals for your AI application and decide how it will benefit users and alleviate their concerns.
Determine which problems require an AI solution first. Think about inquiries like, “What particular problem do we want to address?” and “What improvements or solutions can AI bring to this specific issue?” It’s critical to give the AI system specific, quantifiable goals.
- Choosing the Right AI Model
The very next step in building AI applications is choosing the AI model. Depending on the particular requirements of your app, you can select AI models such as BERT, GPT-3.5, T5, Mistral, LLaMA, Gemini, PaLM, Orca, InstructGPT, etc. Each of these models guarantees the success of your AI project with its distinct features and functionalities.
So, pick the one that best fits your goals, or if your needs are specific, think about creating a bespoke model.
- Collect and Analyze Data
Since AI models are data-driven, gathering relevant and high-quality data is essential to developing a successful AI application. The general process for preparing data for AI development is as follows:
Begin by locating and gathering information from different sources, including public datasets, internal databases, and so on. Clean up the data since the performance of your AI models is directly impacted by its quality. This entails dealing with missing values, getting rid of duplicates, and fixing errors.
To enhance model training, preprocess the data by standardizing or normalizing it and think about expanding the dataset. Make use of the right tools and libraries to expedite the procedure and implement best practices that are suited to the properties of your data.
- Training AI Models
Pre-trained with a large amount of data, cloud-based AI models may immediately take on a variety of activities. AI models should be customized as per the app development demand. There are two primary approaches to this:
During the training stage, the entire model fine-tuning procedure modifies every parameter in the model. Although it gives great flexibility, it could require more processing power and data.
With the adapter module strategy, the original model weights are kept constant while a limited number of new parameters are added and trained. It may be less adaptable, but it is more resource-efficient.
- Choosing the Right Tech Stack
When you are developing an AI app for iOS or Android, selecting the right technological stack is crucial. Depending on the requirements of your app, choose mobile frameworks, cloud services, and AI platforms.
Consider making use of the robust AI capabilities and infrastructure provided by providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud AI.
- Developing an AI App
Once the stack and AI models are ready, it’s time to develop the AI app. This step involves concentrating on frontend and backend development. In the front end, you create an interface that is easy for users to use and interact with your application. The backend development process involves building and integrating server-side elements, such as the AI model, database administration, and security controls.
- Testing the App
Once the development is done, you will need to test the app multiple times before deploying it to the intended platform. The app testing team needs to guarantee the app’s general functioning, quality, usability, and security are smooth under various conditions. This covers performance testing, security testing, User Acceptance Testing (UAT), unit testing, and integration testing. Before the app’s release, this step is crucial for finding and resolving any problems.
- Deployment and Maintain
If you are confident that the app is bug-free, it’s time to release the app to the appropriate platform. During the deployment, you need to ensure that the functioning of the AI app is error-free.
Overview of AI App Development Cost
Since we have covered how to build an app with AI, understanding the cost prospect is also essential. The AI app development cost depends on different factors. This includes-
- Hiring the Development Team
- AI model training
- Data Preparation and analyzing
- Features
- Testing and Maintenance
The typical cost of developing an AI app can range from $30,000 to $100,000 or more. This estimate could be adjusted in light of your project’s specific requirements. Below is the table illustrating the timing and the cost of AI app development:
| Complex Level | Average Timeline | Average Cost | Example |
| Simple AI app having basic features | 6-7 months | $30,000-$50,000 | Chatbot AI apps |
| Medium AI app with moderate features
|
5-9 months | $50,000-$120,000 | Finance apps and Edtech apps |
| Complex AI app with advanced features
|
7 month-1 year | $150,000-$2,00,000 | Healthcare and IT apps |
Transform your Business with AI Apps
Developing and maintaining AI apps is quite a complex job, and to get the job done, it is best to partner with a seasoned AI app development company. Lucenta Solutions, a leading mobile app development company, is dedicated to working towards innovation and using cutting-edge tools that can help your business reach new heights and meet your vision.
Lucenta being the leading Android app development company, has developed successful apps for businesses using AI systems for different industries. The successful track record of building bug-free AI apps makes it worth hiring for your business.
