AI paper index
tanishqnikose9302/MRAG-HC-System: MRAG-HC-SystemBased v1.0.0
One-line summary
An AI research paper on tanishqnikose9302/MRAG-HC-System: MRAG-HC-SystemBased v1.0.0.
Engineering notes
Engineering notes will be added by the aipentium editorial team.
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
Links and sources
Need this topic turned into a technical roadmap?
aipentium can prepare a custom AI literature review, code map, dataset map, and B2B technology assessment.
Request B2B AI research
Comments