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Sinha-Saurav/README.md

Hi, I'm Saurav 👋

AI Full Stack Developer · Building real-world AI-powered applications

🧠 About Me

I'm a final-year B.Tech IT student passionate about building at the intersection of AI and the web. I work across the full stack - from training ML/DL models to deploying them as user-facing products. Currently diving into Generative AI (LLMs, RAG, prompt engineering).

My goal: ship real applications, not just notebooks.

🛠 Tech Stack

AI / ML Python scikit-learn PyTorch OpenCV

Frontend React Next.js TypeScript JavaScript Tailwind

Backend & Tools Node.js Express Supabase Git

🚀 What I'm Building

  • ApplyOrbit - AI-powered job application tracker with Kanban board, resume ATS scoring, and Gemini-based resume tailoring · React + Express + Supabase
  • Strengthening GenAI fundamentals - LLMs, prompt engineering, RAG pipelines
  • End-to-end projects that combine AI backends with deployed web frontends

📫 Connect

LinkedIn Email

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  1. ApplyOrbit ApplyOrbit Public

    An application tracker app where job seekers can manage their applications and tailor their resumes for each individual jobs.

    JavaScript

  2. PlantDoc-AI PlantDoc-AI Public

    Detect plant diseases from leaf images and get treatment recommendations powered by CNNs and computer vision.

    Python

  3. Career-Recommendation-System Career-Recommendation-System Public

    NLP-based career recommender that suggests top job roles using TF-IDF, CGPA, and cosine similarity - built with Streamlit.

    Jupyter Notebook

  4. Movie-Recommendation-System Movie-Recommendation-System Public

    Content-based movie recommender using TF-IDF and cosine similarity on Netflix metadata (title, genre, cast, director). Built with scikit-learn and Streamlit.

    Jupyter Notebook

  5. Bean-Leaf-Disease-Classifier Bean-Leaf-Disease-Classifier Public

    Jupyter Notebook