Medayu is an android app that utilizes deep learning CNN models to predict Ayurvedic plants. It also diagnoses diseases based on user symptoms, providing valuable insights for healthcare decisions.
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Updated
Jun 21, 2023 - Java
Medayu is an android app that utilizes deep learning CNN models to predict Ayurvedic plants. It also diagnoses diseases based on user symptoms, providing valuable insights for healthcare decisions.
💤 A gamified sleep tracking app designed to help users improve their sleep habits through interactive and engaging experiences. Unlike traditional sleep apps that focus on data collection, this app incorporates game mechanics, visual rewards, and daily challenges to keep users motivated while helping them achieve their sleep goals.
Ceilo is an online platform for mental health support, featuring forum chatting, private consultations, and stress assessment quizzes. It fosters a safe environment to empower individuals and break the stigma surrounding mental health.
CaloFit: An online health tracking application for monitoring nutrition, fitness goals, and overall well-being with a user-friendly interface, comprehensive database, and advanced features like personalized coaching and meal planning.
Body-First: Elevate Your Nutrition! 🌐🥦🏋️♂️ Explore top-tier products like "Ultimate Whey," "Peanut Butter Chocolate," and "BCAA Ultimino." Certified quality! 🏆
An online wellness platform that draws design inspiration from leading platforms. Built to reflect an understanding in user-experience and best practices used for front-end development.
SmartBalance – A personal productivity and wellness companion built with pure HTML, CSS, and JavaScript. Track tasks, expenses, meals, fitness, mood, games, and memories in one simple, privacy-friendly app.
A Map Website for Runners and Cyclists.
A simple application for Windows that calculates a user's Body Mass Index (BMI) based on their height and weight inputs. Users can choose between metric (kg, cm) and imperial (lb, in) units, view their BMI result instantly, and see a corresponding weight category (e.g., Underweight, Normal, Overweight, Obese).
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