International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 05 | May 2025
p-ISSN: 2395-0072
www.irjet.net
Calcura – an innovative AI-powered handwritten problem solver Prof. Supriya C Dept of ISE Acharya institute of technology Affiliated to VTU, Belagavi - 590018 Bengaluru – 560107
Anjan P
Adithya N
Dept of ISE Acharya institute of technology Affiliated to VTU, Belagavi 590018 Bengaluru – 560107
Dept of ISE Acharya institute of technology Affiliated to VTU, Belagavi 590018 Bengaluru – 560107
Akash Shetty B
Chandan S
Dept of ISE Acharya Institute of technology Affiliated to VTU, Belagavi – 590018 Bengaluru – 560107
Dept of ISE Acharya Institute of technology Affiliated to VTU, Belagavi – 590018 Bengaluru – 560107
-------------------------------------------------------------------------***----------------------------------------------------------------------Abstract— This paper introduces Calcura, an AI- system integrates advanced tools and frameworks to
allow users to input handwritten expressions and obtain accurate solutions in real time. Calcura addresses the growing demand for intelligent, accessible platforms that cater to students, educators, and professionals across disciplines.
powered platform designed to simplify and enhance math and physics problem-solving through handwritten input recognition. By leveraging the Google Gemini API, Calcura accurately interprets user-drawn mathematical expressions and delivers solutions via an intuitive frontend and a robust backend. The frontend, developed using React and TypeScript, provides an interactive canvas for handwritten input, while the backend, built with FastAPI or Flask, processes images using Pillow and performs computations with NumPy and SymPy. Supporting operations ranging from basic arithmetic to advanced calculus and physics, Calcura addresses challenges such as handwriting variability, real-time feedback, and efficient API integration. Initial evaluations demonstrate high accuracy in recognition and solution delivery. Designed for students, educators, and professionals, Calcura bridges traditional methods and digital innovation, providing an efficient and user-friendly platform for mathematical problem-solving.
At the core of Calcura is the Google Gemini API, which ensures precise recognition of handwritten mathematical expressions. The backend, implemented using FastAPI or Flask, processes input images using the Pillow library, while performing mathematical computations with robust libraries like NumPy and SymPy. On the frontend, a React-based interface with TypeScript provides an interactive canvas for input, delivering an intuitive and seamless user experience. This cross- platform solution ensures flexibility and accessibility for users on various devices. This paper details the architecture of Calcura, emphasizing its ability to handle a wide range of computations, from basic arithmetic to advanced calculus and physics problems. The system overcomes key challenges, such as handwriting variation, real-time feedback delivery, and efficient API integration, to provide a reliable and effective platform.
Introduction Mathematics and physics problem-solving have been fundamental to education and research, requiring precision and analytical skills to address challenges across various domains. With the rapid advancements in technology, traditional problem-solving methods are transitioning towards innovative, digital solutions that improve efficiency and accessibility. Among these advancements, handwritten input recognition has emerged as a crucial technology, enabling users to interact with systems naturally, replicating the conventional pen-and- paper approach.
Calcura bridges the gap between traditional problemsolving methods and modern technological advancements. By offering an accessible, user-friendly platform, it enhances user engagement and productivity. The subsequent sections of this paper outline the system’s design, key features, challenges addressed, and the potential impact of Calcura on mathematical problem-solving and education. Literature Review Calcura, an AI-powered platform for handwritten math and physics problem solving, addresses the limitations of traditional digital tools. This review examines relevant research to contextualize Calcura's development.
Calcura is an AI-powered platform designed to revolutionize the way users solve mathematical and physics-related problems by leveraging state-of-the-art artificial intelligence and intuitive user interfaces. The
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