Photochem is a mobile chemistry assistance app that helps students and professionals solve chemistry problems quickly and understand the underlying concepts. The app combines image recognition with AI-powered problem solving to provide detailed, step-by-step explanations for chemistry equations across all major branches of the subject.

Dual Input Methods: Users can either scan handwritten or printed chemistry equations using their camera, or manually type equations directly into the app for maximum flexibility.

Comprehensive Chemistry Coverage: The app handles problems across organic chemistry, inorganic chemistry, and physical chemistry, including acid-base reactions, stoichiometry, reaction mechanisms, thermodynamics, and equilibrium calculations.

Step-by-Step Solutions: Rather than simply providing final answers, the app breaks down each problem into clear, logical steps that explain the reasoning and methodology behind the solution.

Instant Recognition: The image recognition system accurately reads chemical formulas, equations, subscripts, superscripts, and chemical notation from photos, eliminating the need for manual input of complex equations.

Educational Focus: Explanations are designed to help users understand concepts and methods, making it useful for homework assistance, lab preparation, exam study, and general chemistry learning.

Fast Processing: The AI delivers solutions and explanations within seconds, making it practical for time-sensitive situations like exam preparation or homework deadlines.

User-Friendly Interface: The app is designed to be accessible for both high school students learning basic chemistry and university students tackling advanced topics.

The mobile application was developed using the following technologies:

Framework: Flutter AI Integration: OpenAI API (for equation solving, step-by-step explanations, and natural language processing) Backend & Database: Firebase (for user authentication, storage, and cloud functions) Monetization: Superwall (for subscription management and paywall optimization)