Category:
Videos Content Chatbot
Services:
Flutter app development, Project rescue, Support
Team:
6 Specialists

The client used a soft launch approach to release the app: without huge investments or sensational promo campaigns.
Adopted by over 3,500 businesses, with 25,000+ active users managing customer interactions.
The tool processed over 100,000 user queries with an average response time of 3 seconds.
Secured $1.8 million in seed funding, enabling further development and integration of additional features.
The AI-Powered YouTube Chatbot is a web-based tool that enables users to interact with YouTube videos by asking questions and receiving AI-generated answers. Built with OpenAI’s language model, it provides quick and efficient access to video content. Using Laravel for the frontend and Python for backend processing, the platform ensures seamless integration and scalability.
The AI-Powered YouTube Video Chatbot is a web-based tool designed to allow users to interact with YouTube videos by asking questions and receiving AI-generated answers based on the video's content. Build using OpenAI's language model (LLM) technology, the chatbot enables users to access information quickly and efficiently. The platform uses Laravel for the frontend and Python for backend processing, ensuring seamless integration and scalability.
Many users struggle to extract valuable information from long-form video content, such as hour-long podcasts or webinars.
Extracting insights from lengthy videos can be challenging, especially when users need quick answers to specific questions.
Developing an AI chatbot capable of maintaining context across multiple questions and responses was essential for delivering a coherent and user-friendly experience.
Integrating with the OpenAI API and ensuing smooth communication between the Laravel frontend and Python backend posed a challenge, as it required managing data flow efficiently while maintaining system performance.
As a web-based tool, the platform needed to handle multiple user interactions securely and efficiently.

Taking into account the project’s background, our mission was to handle the project transfer from another development provider, review the developed parts, and prepare detailed plans and estimations to finish the project and release the app.
Review the developed app parts (UX/UI + code review + QA) and provide a more specific plan and estimation of the development stage;
Complete the mobile app design and create the design for the admin panel;
Complete Flutter mobile app development;
Develop admin panel;
Strictly stick to the deadlines and the agreed budget.
"Just wanted to shoot you a message and say that you have put together a great team. This is the best group I have ever worked with over my 17 years of working from home full time."


Seamless API Integration and Backend Process
We ensured smooth integration with the OpenAI API for processing video content. Internal Laravel APIs facilitated communication between the frontend and Python backend, enabling efficient data handling and response generation.
Security and Scalability Measures
Implemented secure API key management, user input sanitization, and user authentication to ensure the platform's security. Containerization was used for the Python backend, and traditional web hosting was employed for Laravel, ensuring scalable deployment and efficient handling of user traffic.

We integrated OpenAI's language model (LLM) to process video transcripts and generate accurate responses based on user queries. This enabled users to ask questions related to the video content and receive precise, contextually relevant answers without having to watch the entire video.
A robust workflows was developed, allowing users to input a YouTube URL, create a thread, and interact with the AI in real time. The backend processed the video content using Python, while the frontend, built with Laravel, ensured smooth communication and display of AI-generated responses.
The chatbot maintained context across multiple user queries within a thread, ensuring that each response was coherent and relevant to the ongoing discussion. This provided a more natural and interactive experience for users.
The AI-powered chatbot allowed users to extract key information from lengthy videos without having to watch them in their entirely. This significantly reduced the time spent searching for specific insights, making the process more efficient.
The chatbot made it easier for users to access and understand video content, enhancing their ability to extract valuable insights. This feature proved especially useful for individuals with limited time or those seeking specific information.
By enabling users to interact with videos through an AI chatbot, the platform offered a more engaging and convenient way to consume content. Users could focus on topics of interest, making the overall content experience more relevant and enjoyable.

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