The problem SkinVeda solves

Problem Statement
Modern skincare routines often lack personalization, leading to ineffective solutions for individual skin concerns.
Users struggle to find natural, tailored remedies suited to their unique skin type and conditions.

Solution

The solution is an innovative AI-powered skincare app that assesses skin conditions through image uploads to deliver precise, personalized home remedies targeting issues like acne, dryness, and pigmentation. By suggesting natural, accessible solutions, it also includes recipes, hydration reminders, and yoga practices to promote holistic skin health. A progress tracker visualizes improvements, motivating consistent use, while an educational hub offers skincare insights, seasonal tips, and lifestyle advice. Continuous feedback integration refines the AI, ensuring recommendations adapt to evolving user needs and trends, enhancing the personalized experience.

Target Audience
The target age group for this app is primarily 18 to 45 years. This demographic includes young adults and middle-aged individuals interested in natural, personalized skincare solutions. They value convenience, wellness, and self-care, preferring holistic approaches like home remedies over chemical products. They are tech-savvy and appreciate tailored, eco-friendly solutions to maintain consistent skincare routines.

Challenges we ran into

A significant challenge we faced was collecting data and integrating it with the Android app. Initially, data collection was difficult due to limited sources and the need for structured information. We overcame this by using web scraping and APIs to gather data efficiently. We also had trouble integrating it with the Android app, which required careful attention to API requests, data parsing, and synchronization. We resolved this by setting up a robust REST API communication and optimizing the data flow. With iterative testing and debugging, we achieved seamless integration, ensuring a responsive app and a smooth user experience.