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Open to internships · Class of 2027

Hi, I'm Akshata

Portrait of Akshata Nalawade
  • Full-stack web
  • Computer vision
  • Conversational AI

An engineering student who turns messy real-world workflows into systems that run on their own

Mumbai, India · B.Tech ECS, VIT '27

Latest projectHouse Muse A room photo in, a photorealistic redesign out

Who I am

About me

I'm an Electronics & Computer Science engineering student at Vidyalankar Institute of Technology who builds across full-stack web, applied machine learning, and conversational AI.

What I build

Most recently I built House Muse, an AI interior design platform that redesigns a room from a single photo, and shipped a lead-handling chatbot on Zoho SalesIQ during my internship at Trinetrini Quantum. I'm comfortable with Python, JavaScript, SQL, REST APIs, computer vision, and Linux and cloud fundamentals.

Electronics & Computer Science engineer

Education · 2023 – 2027

Vidyalankar Institute of Technology

B.Tech, Electronics & Computer Science

GPA 7.61 (through Sem V)

Based in

Mumbai, India

Open to internships · Class of 2027

By the numbers

services behind House Muse
3
interactive experiments in NetLab
6
models compared for weather classification
3
cloud & Linux training at C-DAC
60h

Beyond code

From styling outfits and exploring new flavours to embracing spirituality and mindful living, I find happiness in the things that let me express myself, stay grounded, and enjoy life beyond the digital world.

Selected work

Projects

6 projects

House Muse redesign of the same room in a Victorian style, with the arched window kept in place
The original photo: an empty room with a tall arched window
BeforeAfter
Drag to compare
House Muse redesign of the same living room in an eclectic style
The original photo: an empty living room
BeforeAfter

Flagship project

House Muse

A room photo in, a photorealistic redesign out

An AI interior design platform that redesigns a room from one photo while keeping its walls, windows, and layout intact.

  • React
  • TypeScript
  • Django REST Framework
  • Flask
  • PostgreSQL
  • PyTorch
  • OpenCV
  • Hugging Face

View the code

  1. 01Generates redesigns with SDXL, Depth ControlNet, and style LoRAs, so the room's structure survives the restyle.
  2. 02Three services: a React + TypeScript frontend, a Django REST backend with token auth and Google OAuth, and a Flask ML microservice.
  3. 03Vision pipeline (YOLOv8, SAM, CLIP, K-Means) for object detection, room-type classification, lighting analysis, and colour palette extraction.
  4. 04Catalog-based budget breakdowns in ₹ across 7 categories with an interactive donut chart, plus chat-driven refinement using img2img.

Internship · Trinetrini Quantum

Lead-handling chatbot

A chatbot that answers visitors and captures leads

A conversion-focused chatbot for Trinetrini Quantum's website, built on Zoho SalesIQ to automate lead handling.

  • Zoho SalesIQ
  • Conversational AI
  • Workflow automation
  • Decision trees
  • JavaScript

NetLab

A virtual network lab, now at v2.0, with six interactive experiments: Stop-and-Wait, Go-Back-N, Selective Repeat, Error Detection, Timeout ARQ, and Window Analysis.

  • JavaScript
  • Canvas
  • Networking

View the code

NetLab v2.0 home page listing its six experiments
NetLab's Go-Back-N timeline: frames and acknowledgements between sender and receiver, with a lost frame marked in red

IshaaraSpeak

Speech in, 3D sign language out

An accessibility system that converts speech to text and renders it as 3D sign language.

  • Python
  • JavaScript
  • CNN
  • OpenCV
  • MediaPipe
  • 3D animation

View the code

Weather Classification

Classifies weather from sky images, comparing MobileNetV2, ResNet18, and a custom CNN, with Grad-CAM explanations and a Flask web app.

  • PyTorch
  • CNN
  • Grad-CAM
  • Flask

View the code

Grad-CAM heatmap over a landscape photo, showing the regions the weather classifier relied on

Creamy Bliss

The day-to-day of an ice cream parlour, online

A responsive full-stack web application for an ice cream parlour.

  • HTML
  • CSS
  • JavaScript
  • Node.js
  • PostgreSQL

Internship & courses

Experience

  1. 1 Dec – 15 Jan

    AI Chatbot Development Intern

    Trinetrini Quantum

    • Hands-on work in conversational AI, chatbot flow design, and workflow automation on Zoho SalesIQ.
    • Built and shipped the company's lead-handling website chatbot.
  2. 5 June – 15 June

    Certificate Course in Cloud Computing

    C-DAC ACTS, Pune

    • 60 hours of training in cloud computing, basic and advanced Linux, and deployment.
    • Practical exposure to cloud-based solutions, Linux environments, and DevOps fundamentals.
  3. Completed

    Fundamentals of Machine Learning

    Infosys Springboard

Toolkit

Skills

Languages
PythonJavaScriptTypeScriptSQLHTML5CSS3
Frontend
ReactViteTailwind CSSResponsive UIFigma
Backend & APIs
Node.jsDjangoDjango REST FrameworkFlaskREST APIsToken authGoogle OAuth
Databases
PostgreSQLSQLite
AI / ML & vision
CNNKNNYOLOv8OpenCVMediaPipeStable Diffusion (SDXL, ControlNet)K-MeansPandasNumPy
Cloud & tools
LinuxCloud computingHugging Face SpacesGit & GitHubJupyterGoogle ColabZoho SalesIQ

Get in touch

Let's talk

I'm looking for internships in full-stack development and applied AI. If you're hiring, building something interesting, or just want to talk shop, my inbox is open.

nalawadeakshata00@gmail.com

Open to internships · Class of 2027

Email meDownload resume ↓