One of our EdTech clients has developed an advanced AI-powered platform to capture, summarize, and organize notes from meetings, lectures, and presentations. It is designed to help students and academic professionals stay focused on discussions without worrying about writing everything down. With features like speech-to-text transcription, intelligent summarization, and multilingual translation, it produces clear and structured notes in just a few minutes. The client partnered with us to improve the overall quality of the platform, strengthen development processes, and create a more efficient project management system to ensure scalability and reach a wider audience.
Key Challenges Faced by the Client
The client had many challenges that affected their progress and the user experience. They were also having a tough time maintaining the quality standards and meeting the delivery timelines constantly.
- Task management was scattered across multiple channels, such as emails, chats, and spreadsheets, which led to missed priorities and repetitive work.
- Code quality was inconsistent, and performance issues affected stability and scalability.
- Sprint planning was ineffective as tasks were too large and lacked proper estimation.
- Integrating AI-driven multilingual features proved to be complex
- Communication gaps resulted in delays in decisions and project completion.
Our Approach
We solved the core problems by enhancing processes, quality of development, and also by integrating advanced AI features into the platform. Our aim was to create a system that was efficient, trustworthy, and ready to manage growth.
Key Actions Taken
- Introduced JIRA to handle sprints in an organized way, track tasks centrally, and offer clear visibility of progress.
- Implemented Slack to allow quick communication and better collaboration between teams.
- Improved backend and frontend structures for higher performance, scalability, and easier maintenance.
- Set up regular code reviews to ensure accuracy and consistency.
- Divided larger goals into smaller, manageable tasks for realistic timelines.
- Added AI-powered multilingual translation using OpenAI and Hugging Face.
- Used Amazon Textract to automate document text extraction.
- Kept requirements clear and maintained open communication with the client.
The Results
We transformed the platform into something that works well and feels reliable. Task management became straightforward, which meant no more confusion or waiting around for things to get done. When we fixed the underlying code issues, it solved a lot of problems and made everything run much smoother for users. We also changed how we approached big projects by breaking them down into smaller, manageable pieces, which improved the pace and performance of the tasks.
Adding different language options meant more people could use the platform, and the automated features gave everyone their time back. The biggest win was how we kept everyone in the loop with clear, honest communication, which really helped build trust and made sure the platform was ready to grow.
Summary
When we brought together better technical quality and smoother processes, the platform became something that could truly scale and perform well. The changes we made fixed the problems that were holding things back and set everything up for lasting success. By focusing on clear communication and smart automation, we created a much better experience for everyone involved, including the people who use the platform.
