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Cross-Lingual Semantic Alignment and Multi-Objective Reranking for Multilingual Abstractive Summarization Knowledge-Based Systems, Elsevier β Q1, Impact Factor 8.0 Β· First Author Hallucination-resistant multilingual summarization framework β evaluated across 5 languages, 50%+ relative gain in cross-lingual semantic consistency. Read the paper β |
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Bridging the Gap: Converting Read Text to Conversational Dialogue Springer LNNS, ICICC 2025 Β· Samsung PRISM Research Neural vocoder-based speech transformation β flat read-aloud text into natural conversational tone. Read the paper β |
agentic_ai: [LangChain, LangGraph, RAG Pipelines, Vector DBs, Multi-Agent Systems, HuggingFace]
ml_dl: [PyTorch, TensorFlow, Scikit-learn, OpenCV, Transformers, Speech/TTS Models]
backend: [Node.js, Express, Flask, FastAPI, Java, C++, TypeScript, Go]
data: [PostgreSQL, MongoDB, Redis, MySQL, SQLite]
cloud_devops: [Docker, AWS, Azure, Linux, Git, GitHub Actions]
tools: [VS Code, Figma, Postman, Streamlit]BLIP gTTS FastAPI β Image β multilingual audio narration, 20+ languages, ~3s end-to-end latency, WCAG 2.1 AA accessible.
CNN-LSTM EEGNet Transformer GNN β 75.1% emotion/rhythm classification accuracy on 128-channel EEG across two naturalistic datasets.
Node.js PostgreSQL MongoDB WebSockets β Full logistics platform, real-time GPS tracking, role-based dashboards, live booking.
Transformer HiFi-GAN β PESQ 4.64. Monotone read speech converted to natural conversational tone.
Building Smart Contracts and my own Coin for smooth transaction to reduce fuel gas on Ethereum Blockchain with lightning support
It shows your expressions as per your face expresses it
Jupyter Notebook
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