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sinha9065/README.md

Typing SVG

Data Science Student | Python β€’ SQL β€’ ML β€’ DL | Building AI Agents with LangChain & RAG

Profile views Followers


πŸ§‘β€πŸŽ“πŸ““ About Me

  • πŸŽ“ Academics: Pursuing B.Sc. (Hons.) Data Science.
  • πŸ’Ό Experience:
    • ML/AI Intern @ NovaNectar Services Pvt. Ltd. (May 2025 – Jul 2025) β€” Built ML models for car price, landslide, and house price prediction using multiple algorithms.
    • Data Science Intern @ MedTourEasy (May 2025 – Jul 2025) β€” Data preprocessing, EDA, and applied ML/DL.
    • Artificial Intelligence Intern @ Internship Studio (Feb 2024 – Mar 2024)
  • πŸ† Hackathons & Competitions: Secured 3rd Position at Tech Fest 2025, building a CLI-based Blockchain Voting System in Python using SHA-256 hashing to ensure vote immutability and prevent double voting, competing against 8 teams.
  • πŸ›°οΈ Focus Areas: Building AI agent systems using LangChain & RAG pipelines, and currently deepening skills in FastAPI & Docker.
  • 🎯 Current Objective: Looking to collaborate on open-source Data Science / AI projects, and open to internships, collaborations & conversations around AI/ML and Data Science β€” feel free to ask about Python, Machine Learning, SQL, Data Analysis, LangChain, or RAG.

πŸ› οΈ Tech Stack & Skills

Languages

Python SQL

Machine Learning

Deep Learning NLP TensorFlow PyTorch Scikit-learn

AI Agents & LLM

LangChain RAG

Web & Automation

BeautifulSoup Web Scraping API Integration

Data Analysis & BI

Pandas NumPy Matplotlib Seaborn Power BI

Data Skills

Data Cleaning EDA Feature Engineering Data Visualization

Tools & Platforms

Streamlit Git GitHub


πŸš€ Featured Work

🧠 ResearchMind

Multi-agent AI research system.

A 4-agent AI pipeline (Search, Reader, Writer, Critic) built with LangChain and Groq LLM that automates end-to-end topic research and report generation, with real-time web search via Tavily API and a follow-up Q&A feature.

Python LangChain Groq LLM Tavily API Streamlit

YouTube video summarizer & RAG-based Q&A.

Paste a YouTube link and get an instant transcript, a Groq LLM-generated summary with timestamped sections, and a RAG-powered Q&A tab β€” transcript chunks are embedded and stored in ChromaDB for accurate, context-aware answers.

Python RAG Groq LLM ChromaDB Streamlit

Real-time emotion detection from text & voice.

A DistilBERT-based deep learning model that detects emotions from text or voice, with word-level explainability, voice input/output, and a live mood heatmap.

Python DistilBERT Streamlit Hugging Face

🌿 Plant-Doctor

Computer Vision plant disease detector.

Upload a photo of a plant leaf and a trained ML model diagnoses the disease instantly, helping farmers and gardeners catch issues early and act fast.

Python Computer Vision Deep Learning Image Classification


πŸ† Honors & Achievements

  • πŸ₯‰ 3rd Position β€” Tech Fest 2025: A CLI-based blockchain voting system in Python using SHA-256 hashing to ensure vote immutability and prevent double voting, competing against 8 teams.
  • πŸŽ–οΈ All India Rank 41 β€” Internship Studio: Ranked among the top candidates nationwide in Internship Studio's evaluation.
  • πŸ“ JEE Mains 2023 β€” 92 Percentile: Scored in the top percentile bracket in one of India's most competitive engineering entrance exams.

🐍 Contribution Snake

Contribution Snake


πŸ“Š GitHub Stats


πŸ’¬ Let's Connect

I'm open to internships, collaborations, and conversations around AI/ML and Data Science β€” especially anything involving AI agents, RAG pipelines, or computer vision. Always happy to talk shop or team up on something interesting.

"Turning AI concepts into something that actually works, end to end."

Popular repositories Loading

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    Advanced real-time invisible cloak using OpenCV with HSV color detection, live trackbar calibration, and multiple color presets

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    An AI chatbot that answers questions from uploaded PDFs using RAG, with source citations. Built with Python & Streamlit.

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  6. Plant-Doctor Plant-Doctor Public

    AI plant disease detector with photo diagnosis, treatment tips, and Hindi support. Built with Python & Streamlit.

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