An AI-first, Gen Z–oriented fashion styling app enabling users to upload wardrobe items, receive personalized outfit suggestions using AI, and engage socially via outfit polls and feeds. The solution leverages Firebase’s scalable cloud backend and integrates OpenAI for prompt-based outfit generation. Users can manage a virtual closet, receive AI alerts on missing wardrobe items, and interact with a community through polls and comments. It also includes an admin panel for moderation, analytics, and subscription management. Monetization is driven through subscription tiers and integrated ads. The product is designed as a progressive MVP with clearly defined “must-have” and “nice-to-have” features to facilitate phased rollout. Post-launch, the client aims to validate market fit and scale with affiliate shopping and influencer integrations.

This platform automates the brick-making process by enabling customer to place order and track the materials and finished product during delivery. Admin verify the deliveries and a custom application is used to manage the production stages, including delivery of bricks to end users. All operations are tracked and monitored for efficient and streamlined processes. Modules 1-Inventory 2-BOM Bill of materials 3-Fleeting management 4-Order Management and procurements 5-Production 6-Workflow process We will be combining the above modules and create a custom solution based on the customer requirement to manage all the operations from beginning to the end.

 

Astra Health is an AI-driven platform designed to revolutionize clinical documentation. By leveraging multilingual AI-powered solutions, it enables healthcare professionals to automate their administrative tasks, allowing them to focus on providing quality patient care. The platform enhances clinical productivity, ensures accurate documentation, and improves the overall patient experience while reducing administrative burdens. Astra Health aligns with the mission of making healthcare more efficient and patient-centered. It supports diverse healthcare professionals across different languages and settings, ensuring seamless integration into existing medical workflows.