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Mohammed0572/README.md

🌟 Syed Mohammed Naqvi's Developer Portfolio

Welcome to my digital workspace! I am a full-stack web developer and Computer Science and Business Systems (CSBS) student based in Bengaluru. I specialize in building practical, data-driven applications—from AI hackathon prototypes to complete digital ecosystems for local businesses.

🎓 Education

KS School of Engineering and Management B.E. in Computer Science and Business Systems (CSBS)

  • Student ID: 1KG23CB052
  • Location: Bengaluru, India

💻 Featured Projects

🏙️ Cost in Bengaluru

  • Live Demo: costinbengaluru.netlify.app
  • Tech Stack: Flask, Chart.js, Python, JavaScript
  • Overview: An interactive data visualization platform built to track and display living expenses and local economic data in Bengaluru. Designed the architecture with a custom Flask backend and Chart.js frontend, including full search functionality and database integration.

🌾 AI Crop Recommendation Engine (Smart India Hackathon)

  • Tech Stack: Machine Learning, Python, Scikit-Learn
  • Overview: Developed an AI-driven prototype for SIH that analyzes environmental factors to recommend optimal crops to farmers, aiming to maximize agricultural yields and sustainability. Collaborated closely with a 6-person engineering team.

🚦 FlowBengaluru

  • Tech Stack: FastAPI, Render, Python
  • Overview: An academic mini-project modeling urban traffic solutions for Bengaluru. Built a fast, robust REST API backend using FastAPI and successfully deployed the live service on Render.

🌐 Custom Client Web Rebuilds

  • Clients: dpawsin.com (Pet Grooming), rmjgroups.in (Retail)
  • Overview: Migrated local businesses away from rigid WordPress templates by custom-coding tailored web experiences from scratch. Managed full hosting migrations across Render and GoDaddy, granting clients total design control and significantly improved performance.

📝 Academic Research & Technical Writing

Energy Efficiency: Traditional Indian Architecture vs. Modern Concrete

  • Conducted a comprehensive literature review and technical report comparing the thermal performance and energy efficiency of indigenous architectural methods against modern concrete housing structures, synthesizing complex research data tables for academic review.

🛠️ Technical Arsenal

  • Languages: Python, JavaScript, SQL, HTML/CSS
  • Backend & APIs: Flask, FastAPI
  • Frontend & Visualization: Chart.js, Markdown
  • AI/ML: Scikit-Learn, Transformers, llama.cpp (Local LLM implementation)
  • Tools & Deployment: VS Code, Git, Render, GoDaddy

📬 Let's Connect

Popular repositories Loading

  1. dsa-learning-hub dsa-learning-hub Public

    TypeScript 1

  2. bengaluru-cost-explorer bengaluru-cost-explorer Public

    TypeScript 1 1

  3. SCROLL SCROLL Public

    CSS 1

  4. FixGenie FixGenie Public

    JavaScript 1

  5. test_api test_api Public

    Forked from pygenicarc/test_api

    preparing a demo applications

    Python 1

  6. Face-Recognition Face-Recognition Public

    Python 1