Best Frameworks for Chatbot Development in India

Best frameworks for Chatbot Development in India
Best Frameworks for Chatbot Development in India

Chatbots are essential for various types of business across the globe due to their wide range of usage. These chatbots give an advanced way for various types of businesses to speak to their customers. Due to this, a business can stay connected with their customers throughout the day giving a top-quality customer experience. Due to these diverse types of benefits, there is a rise of chatbot development frameworks in the market making it tricky to choose the best one. To select the right one for your development, below are the best chatbot app development frameworks that will be useful in building smart and flexible chatbots.

Best frameworks for Chatbot Development in India:

Microsoft Bot Framework

Microsoft Bot Framework is listed high among the top chatbot frameworks that aid in developing smart chatbots. This multi-faced framework aids the developers to build, publish and supervise their bots efficiently. Such diverse proficiency is possible due to the availability of two key components. Initially, it gives channel connectors aiding developers to connect the bots to various messaging apps. Secondly, it consists of SDKs for applying specific business strategies in the chats. There are some unparalleled advantages of using this framework namely a wide range of integrated features, capability to function across different computer languages, all-around support, and many more. They can seamlessly function with other messaging apps which are widely used across the globe.

IBM Watson Assistant:

The Machine learning abilities of this framework make it a popular choice for several leading firms for developing advanced AI chatbots. It is a complete enterprise chatbot development framework that develops live chat types of chatbots that work seamlessly with different types of devices. This framework is best suited for building voice-powered chatbots, retail and financial industry chatbots, especially for the Android platform. This framework supports around 13 languages with the ability to be deployed in any setting such as Cloud, on-premise without any hiccups. This framework consists of an integrated translator which helps connect efficiently with the customers. It employs ML for developing a conversational type of characters, GUI for non-technical kinds of bots. Further, an added advantage is having a chat tone analyser that is key in detecting a negative or positive response.

Amazon Lex

Amazon Lex is also a leading platform that is used to develop the conversational type of interfaces into any kind of app. This framework has an in-built framework that aids with SDKs for developing bots for both Android apps and iOS apps employing voice and text types. Technologies such as natural language understanding (NLU) and automatic speech recognition (ASR) are employed to build interactive bots of top quality that accurately find the conversation tones. It is beneficial in developing apps that match the user experiences with natural interactions. The chatbots developed with Amazon Lex can be integrated with messaging platforms such as Facebook Messenger, Slack, etc.

Also Read: How much does it cost to develop an app like Doordash?

Bot press:

Bot press is a renowned name in the open-source platform that functions similar to Word press that functions well for building seamless websites. This framework is integrated with exciting features like Dialog Manager and The Flow Builder. The interface of this framework is exciting and simple to manage even to people with minimal technical knowledge after the deployment. These features help in the development of chatbots that are robust, scalable with smooth conversations. Moreover, this framework allows for smooth customization of bots by integrating with 3rd party APIs. 

Rasa Stack:

This is also an open-source platform that is a perfect suit for engineers to develop contextual-reliant bots. These bots can easily analyze and answer depending on the conditions. The two key modules are Rasa NLU that works on the natural analysis of language while the Rasa Core works on the development of conversational chatbots. It is highly popular across the banking industry, recruitment industry, and healthcare. Rasa has a unique advantage of easily handling contextual chats by knowing the intent of the customers in solving the queries. This framework aids in integration with popular platforms like Telegram, Facebook, Chat, and many more.

WIT.AI

This chatbot framework aids in offering a unique ability to browse the existing bots freely and begin the development process. One of the popular open-source platforms was acquired by Facebook in 2015 and has high expectations for topping the charts in the coming days. WIT.AI has a detailed documented API which is highly beneficial for users who are not technically experienced. WIT.AI can be easily integrated into platforms like Telegram, Facebook Messenger, wearable devices, mobile apps, and many more. The integral coding languages in this framework are Ruby and Python along with support for NLP but the SDK is available in Ruby, NodeJS, Python, iOS languages. Another specialty of this framework is its support to more than 80 languages across the globe.

Chatter Bot

Chatter Bot is a renowned framework that allows any chatbot to be ready to function in any given language. It is supported by Node.js, which functions by creating a Python library. During the initial phases, this framework cannot respond accurately even to a simple human chat. But as it gets the push of more data, there is an increase in the accuracy of human chat responses. Constant learning is a unique quality provided by Chatter Box. Moreover, this chatbot will choose the closest identical answer by searching for the closest identical statement present in its library. It slowly gets to know the impactful communication depending on the accumulation of various conversations backed by Machine Learning. Due to these elements, it is termed as the best platform for businesses that require their bot to give apt responses relying on the conversations and continuous learning.

Also Read: How much does it cost to develop an app like UberEATS?

Bottom-line:

All these above-given chatbot development frameworks are reliable and capable. But it is key to select an ideal one suited to the needs of your business. Smartness lies in partnering with a good chatbot app development company like Brillmindz that has accurate expertise in guiding you to develop clever chatbots that fulfill the customer needs with ease.