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tanishqnikose9302/MRAG-HC-System: MRAG-HC-SystemBased v1.0.0

2028-05-08 · Zenodo (CERN European Organization for Nuclear Research)

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An AI research paper on tanishqnikose9302/MRAG-HC-System: MRAG-HC-SystemBased v1.0.0.

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Chinese explanation / 中文解读

中文解读待补充:本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。

Original abstract

This Major project is in the 4th Semester (last semester) of the Master of Technology (M.Tech) Degree. It is divided into two phases. Phase 1 starts from July 2027 till November 2027 and Phase 2 starts from January 2028 to May 2028. Multilingual Retrieval-Augmented Generative AI System with Hallucination Control for Government Services Knowledge Access (MRAG-HC). As part of my M.Tech. (Computer Science & Engineering – Generative AI) at VNIT Nagpur, I developed an end-to-end Generative AI platform that enables accurate and multilingual access to government service information using Retrieval-Augmented Generation (RAG). The system integrates OCR, semantic search, vector databases, multilingual query processing, and hallucination-control mechanisms to generate source-grounded, trustworthy responses in English, Hindi, and Marathi. Implemented document ingestion, embedding generation, FAISS-based retrieval, confidence scoring, and verification pipelines to improve factual accuracy and reduce AI hallucinations. #GenerativeAI #LLM #RAG #NLP #MachineLearning #LangChain #FAISS #Python #MultilingualAI #ResponsibleAI #AIResearch #VNITNagpur#VectorDatabase#ComputerScience #Innovation #ResearchProject

5.0Engineering value
7.0Research novelty
4.0Business relevance

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