AI Enabled Multilingual Chatbot

We have developed an AI-enabled multilingual chatbot that can intelligently read and understand uploaded documents in both English and Mandarin. The system extracts key information using TF-IDF-based natural language processing and summarizes content in English, with Mandarin response support under training. It also facilitates smooth conversational interactions and is seamlessly integrated into a user-friendly Mendix-based interface.
  • Multilingual Document Reading: Supports English and Mandarin document uploads with OCR processing using EasyOCR.
  • Smart Summarization & Responses: Uses TF-IDF and Scikit-learn for summarizing content and generating context-aware replies.
  • Language Translation & Detection: Integrated with Deep Translator and LangID to detect language and provide real-time translation.
  • End-to-End System Integration: Built using Python, FastAPI for APIs, and Mendix for the frontend, offering smooth user interaction.
  • Enhanced Productivity: Automates document understanding and summarization, saving time and effort.
  • Improved Accessibility: Supports multilingual capabilities for a broader user base.
  • Seamless Experience: Intuitive interface via Mendix with real-time API interaction.
  • Scalable Architecture: Modular design enables easy extension to more languages and features.
  • Customer Support Automation: Efficiently handle user queries based on document content.
  • Enterprise Knowledge Assistants: Provide quick insights from corporate manuals, policies, or reports.
  • Education & Research: Aid in summarizing academic papers or multilingual study materials.
  • Legal & Compliance: Review and summarize legal documents across different languages.
Shridhar Pattar

Shridhar Pattar is an Associate Software Engineer who graduated in 2023 with a degree in Computer Science and Engineering from KLE Institute of Technology, Hubli. He has experience in Mendix, Python (AI/ML), and Advanced Java, and is passionate about building smart, AI-powered applications using low-code technologies.

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