Handwritten Math Recognition & Solving
Our advanced AI model recognizes and solves handwritten mathematical expressions with high accuracy, making complex math accessible to everyone.
Try It Yourself
Upload an image of a handwritten equation or draw one directly in our interactive demo. Our AI will recognize and solve it in seconds.
Click to upload or drag and drop
PNG, JPG, JPEG, or BMP (max. 5MB)
Key Features
Our AI-powered platform offers a comprehensive set of features to recognize and solve handwritten mathematical expressions with precision and speed.
How It Works
Our advanced AI system uses a multi-stage process to recognize and solve handwritten mathematical expressions with high accuracy.
Image Capture
Upload an image of a handwritten equation or draw directly in the browser.
Preprocessing
The image is preprocessed to enhance features and remove noise for better recognition.
Segmentation
The equation is segmented into individual symbols and their spatial relationships.
Recognition
Our neural network identifies each symbol and understands the equation structure.
Solving
The recognized equation is parsed and solved using mathematical algorithms.
Result
The solution is presented with step-by-step explanations for better understanding.
Performance Metrics
Our AI model achieves industry-leading accuracy and performance across various mathematical expressions and complexity levels.
Recognition Accuracy
Overall accuracy in recognizing handwritten mathematical symbols.
Solution Accuracy
Accuracy in providing correct solutions to recognized equations.
Average Processing Time
Average time to recognize and solve a mathematical expression.
Our Project Deliverables
Our Project Delivers these parameters with output giving math recognised image and solved values.
Accuracy
Precision in recognizing and solving handwritten mathematical expressions.
Efficiency
Fast processing time and optimal resource utilization.
Innovation
Novel approaches to mathematical recognition and solving challenges.
User Experience
Intuitive interface and helpful presentation of results.
Technical Implementation
Clean, maintainable code and robust architecture.
Our Team
Meet the talented individuals behind our AI-powered handwritten math recognition technology.
Shivansh Singh
Lead AI Researcher
Specializes in computer vision and neural networks with 2+ years of experience in AI research.
Sarthak Raj
ML Engineer
Expert in machine learning model optimization and deployment with a focus on OCR technologies.
Saurabh Kumar(Kuntal)
Full Stack Developer
Experienced in building scalable web applications and integrating AI models into user-friendly interfaces.
Prathamesh Dhote
Mathematics Expert
Applied Mathematics with expertise in computational algorithms for solving complex equations.
Join Our Team
We're always looking for talented individuals passionate about AI, mathematics, and creating innovative solutions. Check out our open positions or reach out to us.