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Achievement: Pull Shark

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techatanu/README.md

About Me :

B.Tech CSE undergraduate at Rishihood University (Sonipat, Haryana) focused on AI agents, machine learning and full-stack development. Skilled in Python, LangGraph, RAG, LLMs (Groq / Llama), scikit-learn, FastAPI, Streamlit, React and Node.js. Built projects in exam-question difficulty prediction with a RAG agent, infant cry classification from audio, an AI GitHub portfolio reviewer and a full-stack health record manager. Open to remote AI/ML and full-stack internships.

Socials:

Portfolio LinkedIn email

Tech Stack:

Python JavaScript TypeScript HTML5 CSS LangChain LangGraph Groq scikit-learn NumPy Pandas Matplotlib Jupyter FastAPI Streamlit React NodeJS Express.js MongoDB MySQL Prisma Tableau Nginx Render Git GitHub

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  1. Intelligent-Exam-Question-Level-Analysis Intelligent-Exam-Question-Level-Analysis Public

    Forked from BuiltByNishant/Intelligent-Exam-Question-Level-Analysis

    Predicts exam question difficulty (TF-IDF + Logistic Regression) and writes improvement reports with a LangGraph + ChromaDB RAG agent on Llama 3.3 (Groq). Live Streamlit app.

    Jupyter Notebook

  2. Infant-State-Recognition-System Infant-State-Recognition-System Public

    Classifies infant cry audio into 8 need states (hungry, tired, belly pain...) using 218 librosa audio features (MFCC, mel, chroma) and a cost-sensitive Random Forest.

    Jupyter Notebook

  3. student-github-reviewer student-github-reviewer Public

    AI agent that reviews a student's GitHub portfolio: LangGraph pipeline + Llama 3.1 (Groq), FastAPI backend on Render, Streamlit UI.

    Python

  4. MediTrack MediTrack Public

    Personal health record manager: upload, organise and share medical reports securely. React + Node/Express + MongoDB with JWT auth.

    JavaScript

  5. neetcode-submissions neetcode-submissions Public

    My NeetCode.io problem submissions

    Python

  6. Uber_dashboard Uber_dashboard Public

    Tableau dashboard analysing Uber trip data: demand peaks by hour, revenue by service category and high-earning route clusters.