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Mr1823/README.md

Hi, I'm Pavithran πŸ‘‹

B.Tech AI & Data Science Student | Building AI-Native Products | Targeting Zoho


About Me

  • πŸŽ“ B.Tech AI & Data Science @ Kamaraj College of Engineering & Technology (KCET), Virudhunagar β€” Batch 2024–2028
  • 🏫 Affiliated with Anna University | Student ID: 24UAD056
  • πŸ”­ Currently building: RageRadar β€” an AI-native B2B SaaS platform that scores brand sentiment with a "Rage Index," as part of Straw Labs Genesis Cohort 01
  • πŸ’Ό Interned at Lamda Tech Softics
  • 🎯 Targeting: Software Developer role at Zoho
  • 🌱 Currently sharpening: DSA (90-day "Curious Freaks" tracker) and the AI/ML ecosystem
  • 🧘 Grounded in Stoic philosophy β€” I build things that mean something, not just things that demo well
  • πŸ“ Tamil Nadu, India

Tech Stack

Languages

Frontend & Mobile

Backend & Data

AI / ML

Tools


Featured Projects

Project Description Tech Stack
πŸ”₯ RageRadar B2B SaaS platform that aggregates frustrated customer reviews (Reddit, App Store, Google Play, YouTube, news) and scores brands with a 0–100 "Rage Index," backed by a full AI intelligence layer (query planner, emotion engine, LLM insights, chat interface) React, Node.js, Supabase, HuggingFace, Claude
🎨 AirPlay Real-time, gesture-controlled virtual drawing system with a webcam pipeline, mini-game puzzle mode, and Flask-based web streaming Python, OpenCV, Flask
πŸ’° Kanakku Pulla Android personal finance tracker for Tamil college students β€” SMS auto-parsing, NPCI-based deduplication, GPay-style dialpad, multi-bank support Java, Android, Room DB
🧘 Marcus AI Fully local, offline AI companion running on-device with a custom Stoic-inspired persona and long-term memory Python, Ollama, Flask, SQLite

Certifications

  • 18 Anthropic Certifications
  • Cisco Networking Academy β€” Introduction to Modern AI, Data Analytics Essentials, Apply AI: Analyze Customer Reviews
  • Microsoft AI Skills Fest

GitHub Stats


Connect

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  1. Flood-Detection Flood-Detection Public

    Flood detection in aerial images with MobileNetV2 transfer learning on the AIDER dataset β€” frozen feature extractor, then fine-tuned. 98.7% recall and 0.9955 ROC AUC on a 228-image test set at a va…

    Python