Start Your Digital Journey from Vision to Reality

Work Process

Our Working Process


At iLeaf, we follow a streamlined and collaborative development process to deliver high-performance web applications tailored to your business needs.

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Discovery & Planning 01
Discovery & Planning

Our team provides a free initial consultation to understand your project goals, recommend the right technology approach, and define a realistic budget and timeline framework.

UI/UX design 02
UI/UX design

Collaborate with our design experts to transform your concept into an interactive prototype. This helps you visualize the user journey and app flow before development begins.

Agile Development 03
Agile Development

Our development team brings your product to life through sprint-based coding cycles. You stay in the loop with weekly updates, real-time reviews, and full transparency.

Testing & QA 04
Testing & QA

Every application undergoes rigorous testing to ensure it is bug-free, responsive, and meets quality standards across platforms and devices.

Deployment 05
Deployment

After final QA and approval,we deploy application to the live environment, ensuring smooth launch with minimal downtime. Post-launch, we offer 30 days of free technical support to ensure a smooth transition.

From powerful dashboards to stunning websites, iLeaf leads you forward.


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Technology Stack

Advanced Web Development Tools & Technologies

At TechoYuga we use the scalable and trending frameworks and technologies to build Mobile Apps , Backend and Web applications for our clients.

  • Frontend
  • Backend
React

Angular

JavaScript

HTML5

Express

Laravel

.NET

Django

Node js

PHP

C#

Python

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FAQ

We’re here to answer all your questions


We build custom ML models, predictive analytics, recommendation engines, computer vision systems, NLP-based applications, automation tools — depending on business needs.
We use standard ML/DL frameworks (e.g. TensorFlow, PyTorch, scikit-learn), data pipelines, cloud-based or on-premise infrastructure, and integrate with existing systems as needed.
Yes — we can ingest, clean, preprocess structured or unstructured data, build models accordingly, and deliver insights or integrated ML services.
Yes — from data ingestion/processing, model building/training/evaluation to deployment (on-cloud or on-premise), monitoring, retraining and maintenance.
Depends on complexity — simple predictive models may take a few weeks; advanced AI systems (vision, NLP, large dataset) may take several months including data prep, training, testing and deployment.

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