Task Taka | Devpost

Problems with current task management systems
How we propose to make up for these short comings

🔍 Task Taka: One Stop Task Management at Your Fingertips

Our project, Task Taka, was inspired by the need for an efficient way to manage tasks and priorities in an increasingly fast-paced world. As a team, we recognized that balancing multiple tasks with varying levels of importance and effort could easily become overwhelming without a clear system in place. We wanted to create a solution that not only organizes tasks but dynamically updates them based on real-time input.

💡 Motivations

The core inspiration came from the Action-Priority Matrix, a tool we’ve encountered in the productivity cornner of Youtube. We were particularly drawn to the matrix’s ability to categorize tasks into quadrants based on impact and effort—Quick Wins, Major Projects, Fill-Ins, and Time Wasters. However, we saw an opportunity to automate this process using AI, and that’s when we decided to integrate Reflex.dev and Gemini AI into the project. This combination allows Task Taka to intelligently interpret user inputs and place tasks in the correct quadrant.

🌿 Our Team's First Hack

Building the project was an exciting yet challenging process. This was our entire team's first hackathon. We started by designing the user interface, ensuring that it was simple enough to be accessible but powerful enough to handle complex task lists. We then integrated Gemini AI to handle the interpretation and categorization of tasks, allowing the application to update in real-time as new data is provided. Using Reflex.dev was key in making the app responsive and dynamic, ensuring that user inputs immediately reflect on the Action-Priority Matrix.

🚧 Challenges We Faced

During the hackathon, one of the key challenges we faced was integrating Gemini AI into the codebase. The process of generating and managing the API key proved to be more complex than anticipated, as we struggled to get the AI to accurately interpret user inputs. For example, tasks like “I have a math exam tomorrow” needed to be categorized as high-impact, high-effort, which required refining the AI's logic.

We also encountered difficulties with UI/UX elements, especially with Reflex overlaps affecting the client-side experience. As a team, we deliberated over which AI tool to use for the project and eventually chose Google’s Gemini AI, despite initial challenges in selecting the most suitable API.

🚀 What We've Learned

Through this project, we learned a great deal about using APIs, collaborating as a team, and solving complex technical issues. Ultimately, Task Taka not only taught us how to build an intelligent web application but also developed our soft skills as developers.