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ahana4banerjee/README.md

Hi, I'm Ahana 👋

ECE Student | Software + Hardware Engineer | AI & Embedded Systems

Building intelligent systems by combining AI, Full Stack Development, Embedded Systems, and Real-World Hardware.

About Me

I'm an Electronics and Communication Engineering student who enjoys building end-to-end systems that bridge software intelligence with hardware integration.

My work spans across:

  • AI-powered applications & full-stack development
  • Embedded Systems, IoT & Wireless Sensor Networks
  • FPGA Design, Microcontrollers & Digital Systems
  • Data Structures, System Design & Core CS Fundamentals

I focus on building practical engineering solutions — from intelligent web platforms to sensor-driven embedded systems applications.

Tech Stack

Languages & CS

Python C++ JavaScript TypeScript

Software Development

Frontend

React Next.js Tailwind CSS shadcn/ui

Backend

Node.js Express FastAPI

Database

MongoDB PostgreSQL Firebase NeonDB

AI / ML

Hugging Face TensorFlow Google Gemini

Hardware & Embedded

Arduino STM32 Vivado Wireless Sensor Networks IoT Instrumentation Protocols

Tools & Platforms

GitHub Google Cloud VS Code Vercel Render Git

Experience & Work

  • Built and deployed AI-powered full-stack platforms integrating LLMs for real-world applications
  • Developed embedded and hardware-based systems using sensors, automation, and microcontrollers
  • Designed a Smart Microgrid System (SIH Project) with intelligent energy management
  • Worked on complete system design — data processing → AI → deployment → hardware integration
  • Open Source Contributor with multiple merged PRs (GSSoC'25)

Featured Projects

🔹 FinLens — AI-powered personal finance manager with receipt OCR, analytics & Gemini insights.

🔹 Wireless Sensor Network — Intelligent WSN platform featuring MQTT-based telemetry, FastAPI backend, React NOC dashboard, anomaly detection, predictive analytics, and explainable network health monitoring.

🔹 Metro Train Delay Prediction System — A machine learning framework to predict Hyderabad Metro train delays using GTFS schedule data, realistic delay simulation, operational insights, and cross-validation on Indian Railways data.

Currently Working On

Highlights

  • Strong experience with MERN / PERN Stack and FastAPI
  • Hands-on experience with AI + Embedded Hardware Integration
  • Experience with FPGA, STM32 and Sensor Networks
  • Built and deployed multiple real-world engineering projects
  • Strong foundation in DSA and System Design

GitHub Stats

Currently Learning

  • Advanced Data Structures & Algorithms
  • System Design
  • FPGA & Digital Systems
  • Embedded AI
  • Distributed Wireless Sensor Networks

Contact

LinkedIn Gmail Portfolio

Pinned Loading

  1. metro-delay-prediction metro-delay-prediction Public

    A machine learning framework to predict Hyderabad Metro train delays using GTFS schedule data, realistic delay simulation, operational insights, and cross-validation on Indian Railways data.

    Jupyter Notebook 7

  2. FinLens FinLens Public

    FinLens is a full-stack AI-driven personal finance platform that automates expense tracking, receipt processing, and financial insight generation using Google Gemini AI.

    TypeScript 1

  3. Wireless-Sensor-Network Wireless-Sensor-Network Public

    Wireless Sensor Network (WSN) is an end-to-end Industrial IoT platform for real-time environmental and network health monitoring. The system combines ESP32-based sensor nodes, MQTT messaging, a Fas…

    Python 2

  4. AI-Disaster-Orchastrator AI-Disaster-Orchastrator Public

    Jupyter Notebook 1

  5. Predictive-Ambulance-Green-Corridor-Generator Predictive-Ambulance-Green-Corridor-Generator Public

    Traffic-Aware Signal Coordination for Emergency Vehicle Priority using STM32, FPGA and Smart Traffic Simulation

    C

  6. ev_adas_dashboard ev_adas_dashboard Public

    Simulation-first EV & ADAS embedded software platform built with STM32, PICSimLab, React, FastAPI, and real-time telemetry.

    C