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Tanishq-789/README.md

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πŸš€ Projects I'm Proud Of

  • πŸ€– Wedding Planner AI Backend System

    • Automated 5+ wedding workflows (guest invites, vendor discovery, travel coordination) with Python bots β€” reducing manual effort by 85% βš™οΈ.
    • Integrated WhatsApp (Twilio API) πŸ“± & email tracking πŸ“¬, scraped 60+ service providers, and generated optimized outputs using Streamlit & MongoDB πŸ’Ύ.
  • 🧴 Personalized Skincare Recommendation System

    • Built a Deep Learning-based skin condition predictor 🧠 with 95.60% accuracy (EfficientNetV2B0).
    • Processed 2,394+ images πŸ–ΌοΈ to ensure high-quality results. Built with TensorFlow, Streamlit, and PyTorch πŸ’».

πŸ“Š My GitHub Stats

πŸ‘¨β€πŸ’» My LeetCode Stats

LeetCode Stats

πŸ… My LeetCode Badges

πŸ”₯ Streak Badges

πŸ“… Annual Badges

🎯 2025 Streak Badges

🎯 2024 Streak Badges

πŸ“† Monthly Badges

2024

2025

Tech Stack

C++GitJavaJavaScriptPythonVS CodeHTML5ReactCSS3TailwindCSSViteMaterial UIBabelPostgreSQLMySQLFast APIExpressNodeJSFirebaseFigmaGoogle CloudAmazon Web ServicesTensorFlowPyTorchDocker Kubernetes

πŸ“š I'm Into

  • πŸ€– Deep Learning & AI applications
  • πŸ€– Automation tools & smart assistants
  • πŸ—οΈ Scalable backend systems
  • 🧹 Clean code & software design

πŸ† Achievements

  • πŸ’» 900+ LeetCode problems solved | Rating: 1868
  • πŸ₯ˆ Ranked 776 / 28,244 in LeetCode Weekly Contest 455
  • πŸŽ“ CGPA: 9.08

πŸ“œ Certifications

πŸ”— Let's Connect

tanishq7-77 tanishq-shinde977 tanishqshinde775 tanishqshinde777

Thanks for visiting! Feel free to ⭐ one of my projects or reach out for collaboration! πŸ™Œ

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  1. -BURNOUT---MotoGP-Datathon-Lap-Time-Prediction -BURNOUT---MotoGP-Datathon-Lap-Time-Prediction Public

    A data science solution for the IEEE-CS MUJ "BURNOUT" Kaggle competition focused on predicting average lap times of MotoGP riders using machine learning.

    7

  2. NeuraGreen NeuraGreen Public

    NeuraGreen is an AI-powered web application that helps users make environmentally conscious shopping decisions by analyzing and ranking Amazon products based on their estimated carbon footprint.

    JavaScript 6

  3. Skin-condition-analyzer Skin-condition-analyzer Public

    An end-to-end full-stack web app that uses πŸ“Έ EfficientNetV2B0 to detect 6 common skin conditions from face images, and 🧠 Gemini AI to provide skincare plans, remedy suggestions, ingredient analysis…

    Python 7 1

  4. YT_downloader YT_downloader Public

    An AI-powered modular system for searching, analyzing, and downloading YouTube videos intelligently using keywords, region detection, and metadata extraction.

    Python 6