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janvi2741/README.md

Hi, I'm Janvi 👋

AI Product Builder | ML Engineer | Full-Stack AI Development

Pre-final year Computer Science student building AI products end-to-end — from ML models to shipped, full-stack apps.

🚀 About Me

  • 🎓 CS undergrad at MBIT, CVM University
  • 🏆 1st Place, IntelliHack 2025 (IEEE)
  • 🧠 I build full-stack AI products: LLM-powered apps, ML classifiers, and automation agents
  • 🔭 Currently building an AI Resume/Interview Copilot
  • 💼 Open to AI/ML internships and full-stack AI roles

🛠️ Featured Projects

Project What it does Stack
VyapaarAI Multi-merchant WhatsApp AI assistant for Indian SMBs — 6-language support Node.js, Express, Meta WhatsApp API, Groq (Llama 3.3-70B)
Deevom Gala Live event discovery & booking platform for the UK TypeScript
Meridian AI accountability agent for devs/students, with a live Telegram bot Node.js, Express, Groq (Llama 3.3-70B), Next.js 14, Supabase, Telegraf
Phishing Link Detection ML model that flags phishing URLs — 93.2% accuracy Python, LightGBM, Scikit-learn
MIRA-CORA Self-challenging multilingual RAG assistant with confidence scoring Vite, React, TypeScript, Python, OpenAI

🧰 Tech Stack

Python JavaScript TypeScript Node.js Next.js Supabase Scikit-learn Groq

🏆 Achievements

  • 🥇 1st Place — IntelliHack 2025 (IEEE)
  • 🎖️ Top 30 of 400+ teams — Nexothon
  • 🔒 93.2% accuracy phishing detection model (LightGBM)
  • 🩺 96.4% accuracy breast cancer classification model

Always building. Always shipping.

Pinned Loading

  1. vyapaarai vyapaarai Public

    Multi-merchant WhatsApp AI assistant for Indian SMBs — order management + 6-language support

    JavaScript

  2. Deevom_Gala Deevom_Gala Public

    Live event discovery & booking platform for the UK — concerts, festivals, food markets, art exhibitions

    TypeScript

  3. Meridian Meridian Public

    AI accountability agent for devs and students — Groq Llama 3.3-70B with a live Telegram bot

    HTML

  4. mira-ai-interface mira-ai-interface Public

    Self-challenging multilingual RAG assistant with evidence-based confidence scoring

    TypeScript