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Shreykrishnatray/README.md

Shrey Krishnatray

AI Engineering • Full Stack Development • Research Building Systems

I enjoy building things, but I’ve always been more interested in understanding what’s happening underneath them. I tend to get stuck on the “why” behind something long after the “how” is already clear, and I like breaking complicated ideas down until they stop feeling complicated. A lot of my learning happens this way...build something, run into something I don’t understand, dig deeper, and eventually have that little “oh, so that’s what’s going on” moment. Sometimes that means writing code, sometimes reading a paper, and sometimes rebuilding an idea just to see if I can make sense of it myself. I like taking things from 0 to 1, turning rough ideas into working systems, and learning from the parts that don’t work the first time. I’m still figuring out how far this curiosity will take me, but for now, I’m enjoying the process of building, breaking, understanding, and starting again.




Shrey's GitHub Activity Graph


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Featured Projects:

╰─► ZeroTrust AI

AI-powered identity document verification platform that combines OCR, image forensics, and deep learning to detect manipulated documents and produce an explainable fraud score.

Tech Stack: Python • FastAPI • PyTorch • EfficientNet-B0 • EasyOCR • OpenCV • React

  • Explainable fraud scoring for document authenticity
  • OCR + computer vision + deep learning pipeline
  • Image forensic analysis for tampering detection
  • SHA-256 document fingerprinting

╰─► SynapSense

AI-powered goal-to-action platform that transforms ideas into actionable project plans through task decomposition, dependency mapping, and interactive visual timelines.

Tech Stack: React • FastAPI • MongoDB • OpenAI API • React Flow • Frappe Gantt

  • Natural language → structured project plans
  • AI-powered task decomposition and milestones
  • Interactive workflow and Gantt visualization
  • Automated dependency mapping

╰─► Odyssey

Modern travel discovery platform focused on premium UI/UX, responsive design, destination exploration, and scalable frontend architecture.

Tech Stack: Next.js • TypeScript • Tailwind CSS • Framer Motion • shadcn/ui

  • Responsive travel discovery experience
  • Destination search and exploration
  • Dynamic destination pages
  • Modern animations and UI

╰─► Fasal Maitri

AI-powered conversational agriculture platform that provides farming assistance over phone calls using speech recognition, LLM reasoning, and multilingual voice synthesis.

Tech Stack: FastAPI • Twilio • BharatGenAI Param-1-2.9B • Vakyansh STT/TTS • Python

  • Telephony-integrated conversational AI
  • Multilingual agricultural assistance
  • STT → LLM → TTS pipeline
  • Designed for users without smartphones or internet

📚 Currently Learning & Building:

I learn by building and by going deeper into the ideas behind the systems I use.

  • End-to-end RAG systems
  • Transformer architectures
  • LoRA & PEFT
  • AI agent workflows
  • Modern AI research papers
  • Consistently solving DSA

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  1. Fasal_Maitri Fasal_Maitri Public

    A two-way conversational AI system for farmers that allows them to call a number, provide farm details, ask farming-related questions in Hinglish, and receive contextual voice replies — using only …

    Python 3 4

  2. ZeroTrust-AI ZeroTrust-AI Public

    Hackathon-ready identity document fraud detection demo that combines OCR, image forensics, and a deep learning classifier to produce a single, explainable fraud score.

    JavaScript 1 2

  3. SynapSense SynapSense Public

    AI-powered goal-to-plan assistant that turns vague ideas into structured action plans with timelines and visualizations.

    TypeScript

  4. DSA-Java DSA-Java Public

    A collection of my Data Structures and Algorithms solutions in Java.

  5. orbit-odyssey orbit-odyssey Public

    A premium travel discovery platform built with Next.js 16, featuring cinematic UI, responsive design, destination exploration, dynamic routing, and modern frontend architecture.

    TypeScript

  6. AI-Smart-Energy-Demand-Forcasting AI-Smart-Energy-Demand-Forcasting Public

    A machine learning project that forecasts electricity demand using Random Forest Regression and historical energy consumption data to support smarter energy planning.

    Jupyter Notebook