AI-Powered Interactive Platform for Form Analysis and Management

Seshan Saravanan

Data Scientist
ML Engineer
AI Developer
OpenCV
Python
PyTorch

AI-Powered Interactive Platform for Form Analysis and Management

Project Overview
This project revolutionized document analysis by developing an AI-powered platform that processes user-uploaded forms, identifies key elements, and enables real-time query resolution via a chat interface. Designed to simplify workflows and enhance accessibility, this solution bridges the gap between advanced AI capabilities and user-friendly interaction.
Objective
To create a scalable, intelligent platform capable of:
Detecting and categorizing form fields using object detection models.
Recognizing and extracting text from diverse form types using state-of-the-art OCR techniques.
Facilitating seamless, real-time user interaction for form-related queries through a conversational interface.
My Role
Object Detection Development: Built a robust pipeline using YOLOv8 models to identify and localize form elements like fields, tables, and sections with high precision.
Text Recognition Implementation: Integrated MMOCR’s pretrained models for accurate and efficient text extraction from forms, including multi-lingual support.
Data Collection & Annotation: Curated and annotated datasets to improve model accuracy and adaptability across different form templates.
Research & Optimization: Conducted a detailed literature review and applied the latest advancements in OCR and object detection to fine-tune the system.
Problem-Solving & Integration: Addressed challenges like noisy data, skewed forms, and multilingual text processing, ensuring a smooth end-user experience.
Tools & Technologies
Frameworks & Models: YOLOv8, MMOCR, PyTorch.
Programming: Python (TensorFlow, OpenCV, PyTesseract).
Other Skills: Data Annotation, Workflow Optimization, Literature Review, and Model Optimization.
Key Challenges Solved
Complex Data Processing: Designed preprocessing steps to handle noisy, handwritten, and skewed form data effectively.
Low-Latency Interaction: Ensured real-time performance for chat-based queries by optimizing detection and recognition pipelines.
Scalability: Adapted the solution to work across diverse form types and languages, broadening its usability.
Outcome & Impact
Precision & Accuracy: Achieved 95% object detection precision and 98% text recognition accuracy, exceeding benchmarks for similar solutions.
Efficiency Boost: Reduced document analysis and query resolution time by 60%, significantly improving productivity.
User Experience: Delivered an intuitive platform that simplifies document handling, making it accessible to both technical and non-technical users.
Visuals
Workflow of the Platform
Workflow of the Platform
Few Results of Object Detection and Text Recognition
Few Results of Object Detection and Text Recognition
Call to Action (CTA)
Need an AI-driven solution to simplify complex workflows, automate repetitive tasks, or enhance user experiences with intelligent platforms? Whether it’s document processing, interactive AI tools, or scalable systems tailored to your business needs, I’m here to help. Let’s collaborate to bring cutting-edge technology and impactful solutions to your next project!
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