Math Scribble
To make Mathematics easier for students, we have developed a Deep learning model that can recognise and calculate handwritten expressions. Our model can be used in various applications like online education, online exams, etc.
About usStudents Accessibility
Customizable and user friendly Accessible for Students educational purposes
Educators and Faculties
Fully synchronized workflow between Students and Teachers
Dynamic Platform
Interactive and Dynamic System with Real time results
Privacy and Security
Users data and information are Encrypted and Secured
Features
- Experience advanced symbol recognition and real-time processing with Math Scribble's EfficientDet-Lite model, ensuring adaptability to diverse handwriting styles and optimization for efficient performance. Our deep learning integration offers a versatile environment, fostering collaboration within the development community and positioning the project for future advancements. Explore user-friendly interfaces and accessibility features, meticulously designed for cross-browser compatibility, responsive interactions, and inclusivity across various devices. -
Advanced Symbol Recognition and Calculation
Our project boasts an efficient 'EfficientDet-Lite' object detection model, tailored for real-time recognition of symbols within handwritten mathematical expressions.
- Real-time Processing amd recognition facilitates an instantaneous response.
- Adaptability and seamlessly to recognise diverse handwriting styles.
- Optimization and Efficient Performance.
Deep Learning Integration
Leveraging Multiple leading deep learning frameworks, our project excels in comprehensive model development, training, and deployment.
The seamless combination various Machine Learning Modules in our project provides a versatile environment, accommodating a broad spectrum of deep learning tasks. By leveraging these industry-standard frameworks, we ensure compatibility and foster collaboration within the development community. This integration not only meets current industry norms but also positions our project to readily adopt and benefit from future advancements in the dynamic field of deep learning.
Symbol Parsing and Expression Parsing
Utilizing advanced parsing methods such as the 'Recursive Descent Parser' and 'Operator-Precedence Parsing,' our project excels in converting recognized symbols into structured mathematical expressions.
- Ensure high accuracy in translating handwritten symbols into a machine-readable format.
- Support dynamic post-processing, refining results to enhance precision.
- Parsing methods' source code is for scrutiny, fostering transparency, collaboration.
User-Friendly Interface and Accessibility
The project features an intuitive user interface with accessibility features, providing seamless drawing and input options for handwritten mathematical expressions.
The interface is meticulously designed for cross-browser compatibility, ensuring accessibility across multiple browsers and a broad audience. Its responsive design effortlessly adapts to diverse screen sizes, delivering a consistent and engaging experience on desktops, tablets, and mobile devices. Additionally, the inclusion of accessibility features makes the UI highly user-friendly and inclusive for individuals with diverse needs.
Symbolic Math Powerhouse
Perform advanced symbolic calculations, supporting algebra, calculus, and diverse mathematical functions effortlessly
Inclusive Accessibility
Empower visually impaired students with Text-to-Speech support, fostering inclusivity in mathematical learning
Intelligent Error Handling
Robust error detection and correction mechanisms ensure accurate mathematical calculations every time
Interactive Learning Hub
Engage with step-by-step solutions, enhancing understanding and providing dynamic learning experiences
Collaborative Mathematics
Real-time collaboration enables group problem-solving, ideal for study sessions and collaborative research efforts
External Platform Integration
Seamlessly integrate with external platforms for enhanced versatility and compatibility within various educational and professional environments
MathScribble Insights
Experience the transformative power of Math Scribble with automated recognition, real-time symbolic calculations, and inclusive accessibility features. Our collaborative learning hub fosters teamwork, creating a dynamic and engaging mathematical experience for all users
Math Expression Recognition
Transform handwritten math into digital, editable formats instantly with Math Scribble's Technology
Real-time Symbolic Calculations
Real-time Symbolic Calculations achieving instant results and profound insights in complex mathematical processing
Accessibility for All
Foster inclusive learning with text-to-speech support and adaptive features for Students and visually impaired students
Collaborative Learning
Boost teamwork with real-time interactive learning sessions, fostering synchronized collaborative mathematical exploration and problem-solving
Portfolio
Explore the visual journey of our innovative project through a curated portfolio. From the intricate modules of Math Scribble to compelling use case scenarios and architectural snapshots, our image gallery provides a glimpse into the creativity and functionality embedded in our work. Dive into the visual narrative that brings our project to life.
- All
- Tech
- Math
Testimonials
Discover what our team and collaborators have to say about their experiences with MathScribble. Their perspectives shed light on the collaborative and innovative environment that defines our project. Read on to understand how MathScribble has made an impact from the viewpoints of our diverse team members and contributors.
Working on MathScribble was a UX designer's dream. The team's openness to creative exploration and user-centric approach aligned perfectly with my design philosophy. The result is an interface that not only solves problems but does so in an aesthetically pleasing manner.
Agnel David
UX Designer
As a freelancer, my experience with MathScribble was exceptional. The team's respect for freelancers' flexibility allowed me to contribute effectively. The project's dynamic nature and clear communication made it a smooth and rewarding collaboration.
Arun Kumar
Freelancer
Being an entrepreneur, I appreciated the team's strategic mindset during the MathScribble project. Their understanding of market dynamics and user needs guided the project to success. It's a testament to their entrepreneurial spirit, creating something truly impactful.
Tarun
Entrepreneur
Being an app developer, working on MathScribble was a rewarding experience. The team's visionary approach and innovative thinking created an environment where my skills seamlessly blended, making the development process truly exciting.
Raghul
App Developer
MathScribble provided a canvas for creativity as a front-end developer. The team's support for pushing design boundaries allowed me to craft an interface that not only looks great but also functions seamlessly.
Mohan Raji
Front End Dev
Working on MathScribble was a UX designer's dream. The team's openness to creative exploration and user-centric approach aligned perfectly with my design philosophy. The result is an interface that not only solves problems but does so in an aesthetically pleasing manner.
Agnel David
UX Designer
As a freelancer, my experience with MathScribble was exceptional. The team's respect for freelancers' flexibility allowed me to contribute effectively. The project's dynamic nature and clear communication made it a smooth and rewarding collaboration.
Arun Kumar
Freelancer
Being an entrepreneur, I appreciated the team's strategic mindset during the MathScribble project. Their understanding of market dynamics and user needs guided the project to success. It's a testament to their entrepreneurial spirit, creating something truly impactful.
Tarun
Entrepreneur
Being an app developer, working on MathScribble was a rewarding experience. The team's visionary approach and innovative thinking created an environment where my skills seamlessly blended, making the development process truly exciting.
Raghul
App Developer
MathScribble provided a canvas for creativity as a front-end developer. The team's support for pushing design boundaries allowed me to craft an interface that not only looks great but also functions seamlessly.
Mohan Raji
Front End Dev
Working on MathScribble was a UX designer's dream. The team's openness to creative exploration and user-centric approach aligned perfectly with my design philosophy. The result is an interface that not only solves problems but does so in an aesthetically pleasing manner.
Agnel David
UX Designer
Meet the Team
At Math Scribble, we are a diverse and passionate team united by
our shared commitment to innovation and excellence in mathematical
expression recognition and calculation. Each team member brings a
unique set of skills and expertise, contributing to the project's
success.
Explore the profiles below to get to know the individuals behind
Math Scribble. From developers and designers to researchers and
visionaries, our team collaborates seamlessly to bring you an
intuitive and powerful tool for all your mathematical needs.
Thank you for joining us on this exciting journey !
Walter White
Team Leader and Lead Developer
Bharanidharan
UI/UX Designer
Rahul Raj
ResearcherFrequently Asked Questions
-
What is Math Scribble and how does it work ?
Math Scribble is an innovative project that facilitates the recognition and calculation of handwritten mathematical expressions. It employs advanced deep learning models to recognize symbols, parses expressions, and provides real-time calculation results.
-
What makes Math Scribble unique compared to other similar projects ?
Math Scribble stands out due to its advanced symbol recognition using 'EfficientDet-Lite,' integration of TensorFlow and PyTorch, sophisticated parsing methods, and a user-friendly UX interface. These elements collectively offer a comprehensive and efficient solution.
-
How accurate is the symbol recognition in Math Scribble ?
Symbol recognition in MathScribble is highly accurate, thanks to the 'EfficientDet-Lite' model, which adeptly adapts to diverse handwriting styles. The parsing methods further enhance accuracy, ensuring the precise conversion of symbols into machine-readable expressions. Moreover, MathScribble is designed to be self-learning, continuously improving its recognition capabilities based on user input.
-
Is Math Scribble suitable for educational use, and can it handle complex expressions ?
Absolutely! Math Scribble is designed for educational purposes and adeptly handles complex mathematical expressions. Its adaptive deep learning models and parsing methods make it a valuable tool for students, educators, and professionals.
-
Are there plans for future enhancements or features ?
- More Advanced Calculations
- Text-to-Speech for Visual Impairment Students
- Interactive Learning Modules Integration with External Platforms
- Enhanced Symbol Recognition Models
- Real-time Collaboration Features
- Our Commitment to Excellence and Inclusivity
-
How can I contribute to or collaborate on the Math Scribble project ?
We welcome contributions and collaboration! Feel free to explore the project on GitHub. If you have specific ideas or improvements, reach out to us through the provided contact information or submit a pull request on GitHub.
Contact Us
We value your feedback and inquiries. Whether you have questions
about Math Scribble, want to report an issue, or are interested in
collaboration, we're here to connect. Feel free to reach out using
the contact form below or through our provided contact details.
Your input is essential to us, and we look forward to hearing from
you.
Thank you for being a part of the Math Scribble community !
Our Address
Chennai, Tamil Nadu, India
Email Us
gokulraja840@gmail.com
bharaniuiuxdesigner@gmail.com
Call Us
+91 8248554639
+91 9698255566