Ai Medipal

Learn how an AI system identifies appropriate herbal and pharmaceutical prescriptions by integrating local traditional knowledge with modern medical data for personalized treatment.

React TypeScript Gemini OpenAI API AI/ML frameworks

Overview

An Ai that helps you find a prescription for both herbal and pharmaceutical

Tech stack

React

React is an open-source JavaScript library for building dynamic user interfaces (UIs).

React is a component-based JavaScript library, developed by Meta (Facebook), engineered for building fast, declarative UIs. It mandates a one-way data flow and utilizes a Virtual DOM mechanism to ensure efficient, predictable updates to the user interface. Developers construct complex UIs by composing small, encapsulated components; this architecture promotes code reusability and simplifies state management across large applications. The library employs JSX (a syntax extension) to integrate HTML-like markup directly within JavaScript logic, supporting development for both web (React DOM) and native mobile platforms (React Native).

https://react.dev/

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TypeScript

TypeScript is an open-source superset of JavaScript: it adds static typing and compiles to clean, standards-based JavaScript.

TypeScript is a high-level, open-source language developed by Microsoft: it acts as a superset of JavaScript, adding a powerful static type system. This system enables compile-time type checking, catching errors before runtime (a critical benefit for large-scale applications). The TypeScript Compiler (TSC) reliably transpiles all code into clean, standards-based JavaScript (ES3 or newer), ensuring compatibility across any browser or host environment (Node.js, React.js, etc.).

https://www.typescriptlang.org/

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Gemini

Google's natively multimodal AI model: understands and operates across text, code, audio, image, and video.

Gemini is Google's most capable and general AI model, engineered from the ground up to be natively multimodal: it seamlessly understands and combines information across text, code, audio, image, and video inputs. The technology is optimized for flexibility, running efficiently on everything from data centers to mobile devices. It is deployed in three key sizes: Ultra (for highly complex tasks), Pro (for broad scaling), and Nano (for efficient on-device tasks). Developers access this power via the Gemini API to build next-generation applications.

https://deepmind.google/technologies/gemini/

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OpenAI API

OpenAI API: Your direct gateway to cutting-edge AI models (GPT-4o, DALL-E 3, Whisper), enabling scalable, multimodal intelligence integration into any application.

The OpenAI API provides authenticated, programmatic access to a powerful suite of generative AI models. Developers leverage REST endpoints and official libraries (Python, Node.js) to integrate capabilities like advanced text generation (GPT-4o), image creation (DALL-E 3), and speech-to-text transcription (Whisper). This platform is engineered for scale, supporting millions of daily requests for tasks from complex reasoning to real-time customer support agents, ensuring your application gets reliable, state-of-the-art intelligence.

https://platform.openai.com/

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AI/ML frameworks

AI/ML frameworks are comprehensive, open-source toolkits (e.g., TensorFlow, PyTorch) providing the APIs and libraries necessary to build, train, and deploy machine learning models at scale.

These frameworks are the foundational platforms for modern AI development. They supply the essential components (datasets, libraries, tools) for developers to create sophisticated applications without starting from scratch. Key players include Google's TensorFlow, known for its production-ready ecosystem like TFX and TensorBoard, and Meta's PyTorch, favored by researchers for its Pythonic design and dynamic computational graphs. Frameworks handle complex backend tasks: optimized tensor operations, GPU acceleration, and efficient data pipelines (tf.data). They accelerate development, enabling rapid prototyping and deployment for tasks ranging from computer vision to large language model (LLM) development.

https://www.tensorflow.org/

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Ai Medipal

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