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5 followers · 11 following
  • Centurion university of technology and management
  • Bhubaneswar , Odisha
  • LinkedIn in/subhammishra23

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subham23s/README.md

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name       = "Subham Mishra"
university = "Centurion University (2024–2028)"
degree     = "B.Tech CSE — AI/ML Specialization"
location   = "Odisha, India 🇮🇳"
goal       = "LLM / GenAI Engineer"
focus      = ["RAG Pipelines", "LangChain", "HuggingFace", "Prompt Engineering"]
also_doing = ["Deep Learning", "Computer Vision", "NLP"]
learning   = ["Vector DBs (FAISS)", "LLM Deployment", "SQL"]
open_to    = ["Internships", "Collabs", "Hackathons"]

⚡ Skills



Python LangChain HuggingFace PyTorch TensorFlow Keras Scikit-learn Flask FastAPI Streamlit MySQL

🚀 Featured Projects

Project What it does Stack
BlockVerify Document verification system using blockchain-backed hashing Flask · SHA-256 · IPFS · Ethereum (Sepolia) · MetaMask
OptiScan AI Retinal imaging screening tool classifying 8 eye conditions (DR, glaucoma, cataract, AMD, etc.) from fundus images PyTorch · ResNet50 · FastAPI · ODIR-5K dataset
Energy Consumption Prediction ANN regression model predicting energy usage (R² = 0.9241), deployed as an interactive app Keras · Streamlit
RAG Pipeline (Cybersecurity Q&A) In progress — a two-module RAG system: a Research Assistant over OWASP Top 10 / MITRE ATT&CK, and an Academic Helper for university cybersecurity coursework LangChain · FAISS · Gemini

📊 Stats

 





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  1. BLOCK-VERIFIER BLOCK-VERIFIER Public

    Blockchain-based ML model and file integrity verification using SHA-256, Proof-of-Work, and IPFS via Pinata

    Python

  2. PDFforge PDFforge Public

    ⚡ A local document-to-PDF converter built with Flask. Supports DOCX, XLSX, CSV, images, Markdown, HTML and more. No signup, no cloud — runs entirely on your machine.

    Python

  3. energy-consumption-prediction energy-consumption-prediction Public

    Predicting building energy consumption using Artificial Neural Network (ANN) with a live Streamlit dashboard.

    Python

  4. titanic-survival-prediction titanic-survival-prediction Public

    Predicts Titanic passenger survival using Logistic Regression and Random Forest. Covers data cleaning, feature engineering, EDA and model evaluation. 83.24% accuracy.

    Python