Aura - Creative Tool for Training

Aura - Creative Tool for Training

Training is an art.

Artists need tools.

Training is an art.

Artists need tools.

COMPANY

Aura

ROLE

Product Designer

EXPERTISE

UX/UI Design

YEAR

2024

Project description

Project description

While reading, I kept pausing to Google or ask ChatGPT about concepts I didn’t understand. It was frustrating and broke my focus. Then I saw Andrej Karpathy’s tweet: "The most useful use case for LLMs is a reading assistant." That simple idea clicked instantly—and I knew I had to build it.

While reading, I kept pausing to Google or ask ChatGPT about concepts I didn’t understand. It was frustrating and broke my focus. Then I saw Andrej Karpathy’s tweet: "The most useful use case for LLMs is a reading assistant." That simple idea clicked instantly—and I knew I had to build it.

Problem

Problem

Constantly switching between the book and external resources made deep engagement difficult, leading to fragmented understanding. This inefficiency highlighted the need for an integrated, real-time assistant that could provide relevant insights without breaking the reading experience.

Proposed Solution

Proposed Solution

I envisioned an AI-powered reading companion that seamlessly integrates into the reading experience, offering instant explanations, context-aware summaries, and intelligent insights without requiring users to leave the book. By leveraging LLMs, the system dynamically retrieves relevant information, enhancing comprehension while maintaining an uninterrupted flow, making complex texts more accessible and engaging.

Results

Results

This AI-powered reading assistant was inspired by my struggle to understand complex topics while reading. By using Retrieval Augmented Generation (RAG) and a large language model (LLM), the assistant provides clear and accurate answers from a knowledge base or the web, making learning easier and more engaging. Through this project, I learned how to design systems that combine multiple technologies to solve real-world problems effectively. However, there are limitations, such as the system’s reliance on the quality of its knowledge base and web sources, and occasional inaccuracies in responses. Despite these challenges, this project highlights the potential of AI to enhance learning and make complex information more accessible.

This AI-powered reading assistant was inspired by my struggle to understand complex topics while reading. By using Retrieval Augmented Generation (RAG) and a large language model (LLM), the assistant provides clear and accurate answers from a knowledge base or the web, making learning easier and more engaging. Through this project, I learned how to design systems that combine multiple technologies to solve real-world problems effectively. However, there are limitations, such as the system’s reliance on the quality of its knowledge base and web sources, and occasional inaccuracies in responses. Despite these challenges, this project highlights the potential of AI to enhance learning and make complex information more accessible.

Increased Efficiency

Users report significant time savings and improved productivity through optimized scheduling recommendations.

Positive User Feedback

High user satisfaction ratings and positive reviews highlight the app's intuitive interface and powerful AI capabilities.

Growing User Base

The app quickly gained traction among individuals and businesses worldwide, with a steady increase in user adoption and engagement.