Objective:

Grove Tech AI approached us with an incomplete project: AiLuvio, a revolutionary video communication platform enabling real-time dubbing in over 30 languages using cutting-edge artificial intelligence. Their goal was to finalize the development, optimize performance, and enhance the overall user experience for both web and mobile platforms. Our mission was to ensure the platform's stability, improve AI-driven translation accuracy, and create a seamless user experience.

Challenge:

Our team faced several significant challenges, including:

• Incomplete Implementation: The project had multiple unfinished components, requiring substantial development efforts.
• Performance Bottlenecks: The existing system suffered from stability issues, affecting the quality of real-time translations.
• Short Timeline: The project needed to be finalized and pushed to production within a limited timeframe.
• Seamless AI Integration: Ensuring accurate real-time dubbing across multiple languages with minimal latency.
• Cross-Platform Optimization: Creating a responsive and high-performing experience for both web and mobile users.

Solution:

To meet the client’s needs, we conducted a thorough code assessment to identify critical issues and prioritize fixes. We enhanced backend performance by refining the AI-driven translation processing and optimizing server stability. On the frontend, we improved responsiveness using Vue.js and Quasar to create a smooth cross-platform experience. WebSockets were integrated to enable real-time communication with minimal latency. Rigorous testing and debugging were carried out to ensure a fully stable and production-ready system. Throughout the process, we maintained close collaboration with the client through regular updates and feedback loops to align with their vision.

The project duration was 5 months, and the team consisted of 3 key members:

• 1 Backend Developer – Responsible for server-side development, API integration, performance optimization, and system stability.
• 1 Frontend Developer – Handled UI/UX implementation, real-time interactions, and mobile compatibility.
• 1 QA Engineer – Ensured quality by conducting thorough testing, identifying bugs, and verifying system performance.

Despite the small team size, we efficiently collaborated to complete the project within the given timeframe while resolving performance and functionality issues.

Technologies:

We’ve used the latest technologies and libraries as:

Frontend

• TypeScript – A strongly typed programming language that builds on JavaScript, improving code maintainability and error handling.
• Vue.js – A progressive JavaScript framework for building dynamic and reactive web applications.
• WebStorm – A powerful IDE for JavaScript and TypeScript, used for efficient development and debugging.
• Quasar – A Vue.js-based framework that allows building responsive web and mobile applications from a single codebase.
• Git – A version control system for managing code changes and collaboration among developers.
• WebSocket – A communication protocol that enables real-time, two-way interaction between clients and the server.
• Capacitor – A cross-platform runtime for building mobile applications using web technologies, allowing deployment to iOS and Android.
• Mobile Payment – Integration of mobile payment solutions to facilitate in-app transactions.

Backend

• C# – The primary backend programming language, providing robust and scalable server-side functionality.
• ASP.NET Core – A high-performance, cross-platform web framework for building APIs and web applications.
• WebSockets – Used for real-time communication between the server and clients, ensuring low-latency interaction.
• NUnit Tests – A testing framework for .NET applications, ensuring reliability and stability of backend functionality.
• MSSQL – A relational database management system used for storing and managing structured data.
• Entity Framework – An ORM (Object-Relational Mapper) that simplifies database interactions within C# applications.
• Azure – A cloud platform used for hosting, scaling, and managing infrastructure components.
• Deepgram – AI-powered speech-to-text transcription technology used for processing and analyzing voice data.
• DeepL – An advanced AI-driven translation service integrated for real-time language translation during calls.
• Stripe – A payment processing platform used for handling transactions, subscriptions, and billing.

Results:

Despite the project's challenges, we successfully delivered a fully functional, high-performing platform within the required timeframe. We finalized the incomplete implementation, ensuring that all core functionalities were developed and optimized. Performance bottlenecks were addressed, leading to improved system stability and enhanced real-time AI-driven communication. The accuracy of real-time translations was significantly improved, and a seamless cross-platform experience was achieved for both web and mobile users. Most importantly, we met the production deadline, launching AiLuvio on time and fully aligned with the client’s expectations.

Through our technical expertise and problem-solving approach, we helped Grove Tech AI bring AiLuvio to market, empowering global communication through AI-driven real-time translations.

Our Main Accomplishments

• Completed an unfinished implementation – We inherited a partially developed system and successfully finalized its core functionalities.
• Optimized performance and stability – Addressed critical performance bottlenecks, improved system reliability, and ensured smooth operation.
• Resolved backend and frontend issues – Fixed existing bugs, enhanced real-time communication features, and streamlined API integrations.
• Delivered a fully functional platform – Successfully launched a web and mobile platform with AI-powered real-time call translations.
• Pushed the project to production on time – Despite a challenging timeline, we delivered a production-ready solution that met all requirements.