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pranjalsinggh/README.md
Pranjal — AI applications, full-stack development and data analysis Building practical AI applications. Turning conversations into insights. Making research easier to explore.

LinkedIn — link coming soon LeetCode — link coming soon Email — link coming soon


About me

I build AI-powered tools that turn conversations and research into useful insights. My work combines data analysis, evidence-backed answers, and practical web interfaces.

  • AI applications — Grounded Q&A and retrieval across chats and research documents.
  • Full-stack development — React interfaces backed by Node.js and Python APIs.
  • Data analysis — Conversation analytics and hands-on NumPy and Pandas notebooks.

Across my projects: useful answers, traceable evidence, and clear interfaces.


Tech stack

Languages & web

Python, TypeScript, JavaScript, React, Tailwind CSS and Vite

APIs & development

Node.js, Express, FastAPI, Git, GitHub and Docker

Data & AI

scikit-learn NumPy Pandas Gemini

Retrieval-based Q&A · Evidence search · Jupyter notebooks


Featured projects

01 · ChatScope

Conversation analytics & grounded AI

Turn WhatsApp exports into interactive analytics and evidence-backed answers.

Inside the project

  • Conversation trends, response-time analysis, and interactive visualizations.
  • Message search and retrieval-backed Q&A in English, Hindi, and Hinglish.
  • A React dashboard paired with a Node.js/Express API and Gemini integration.

Built with: React · TypeScript · Node.js · Express · Recharts · Gemini

Explore the ChatScope repository Try the ChatScope live demo

02 · ScholarScout

PDF research & evidence retrieval

Explore research PDFs with source-linked analysis, evidence search, and related-paper discovery.

Inside the project

  • Local PDF retrieval using TF-IDF and BM25.
  • Optional AI synthesis grounded in retrieved evidence.
  • Literature discovery through OpenAlex, Crossref, and arXiv integrations.

Built with: Python · FastAPI · React · TypeScript · PyMuPDF · scikit-learn

Explore the ScholarScout repository Try the ScholarScout live demo


Data science notebooks

Hands-on practice with the foundations behind data analysis:

  • NumPy — Arrays, broadcasting, statistics, and vectorization.
  • Pandas — Data cleaning, transformations, grouping, and joins.

GitHub activity


Connect

Contact links coming soon.

From raw data to useful answers.

Decorative blue and indigo footer wave

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  1. chatscope chatscope Public

    AI-powered WhatsApp conversation intelligence... upload a chat, get analytics + grounded AI answers. No accounts, nothing saved.

    TypeScript 1

  2. ScholarScout ScholarScout Public

    A private-by-session research workspace with source-linked PDF analysis, evidence search and optional connected research.

    Python 1

  3. plant-disease-detection plant-disease-detection Public

    Plant disease classification with a four-layer PyTorch CNN, SQLite image indexing, reproducible training and evaluation, and a Streamlit prediction app.

    Python 1