You will get An AI-driven app that analyzes medical images and delivers clear insights
Project details
his project delivers a practical, production-ready AI solution for medical image analysis not a generic model or demo. I focus on accuracy, clean architecture, and real-world usability, combining machine learning with a scalable full-stack application. Clients get clear outputs, tested models, and well-structured code that can be easily extended or deployed. The approach emphasizes reliability, transparency, and business impact, making it suitable for startups, research teams, and healthcare innovators.
Machine Learning Tools
Google Data Studio, PythonWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$650
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - |
About Isha
Full Stack Developer | Next.js TypeScript AI/ML | SaaS & Real-Time
Ghaziabad, India - 2:43 am local time
and AI-powered tools — clean code, scalable architecture,
on-time delivery.
Currently working as a Freelance Full Stack Developer
with 3 live client projects delivered:
▸ MPRAR — Multi-tenant SaaS with SSO across 3 products,
Stripe subscriptions, JWT auth, PostgreSQL
▸ Euonia — Mental health platform with 35+ screens,
277 REST APIs, real-time chat and analytics dashboards
▸ Mincon — Drilling operations dashboard with
role-based access for 3 user tiers
What I build with:
▸ Frontend: Next.js, React.js, TypeScript, Tailwind CSS
▸ Backend: Node.js, Express, FastAPI, WebSockets, Redis
▸ Database: PostgreSQL, MongoDB, Supabase, Firebase
▸ AI/ML: LangChain, LangGraph, RAG, Vector Stores, LLMs
▸ Cloud: AWS S3, Docker, Vercel, Razorpay, Stripe
Notable projects:
▸ FormTrack — Lead attribution SaaS with UTM tracking
and Razorpay billing
▸ ChillDeck — 6-agent AI presentation generator
with RAG pipeline
▸ Coding Collab — Real-time collaborative code editor
with video communication and AI debugging assistant
Open source contributor to 4 production organizations
with multiple merged pull requests.
Solved 500+ DSA problems across major coding platforms.
If you need a developer who ships real products
let's work together.
Steps for completing your project
After purchasing the project, send requirements so Isha can start the project.
Delivery time starts when Isha receives requirements from you.
Isha works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis & Planning
Review client requirements, medical image type, expected outputs, and final deliverables. Confirm scope and timeline.
Data Preparation & Model Setup
Prepare datasets, preprocess images, and configure the AI/ML model suitable for the use case.