Case Studies · Nepal

Software Development Case Studies from Nepal

Real projects. Real users. Measurable outcomes. These case studies document the technical challenges I solved, the architectural decisions I made, and what the finished product delivered — for clients in Nepal and worldwide.

Why this matters

What Case Studies Reveal.

A portfolio of screenshots tells you what something looks like. A case study tells you how it was built, why specific decisions were made, what went wrong and how it was fixed, and what the outcome was. For clients evaluating a software developer in Nepal, case studies are the closest thing to a reference that scales. Each project documented here is a production system with real users — not a side project or coding challenge. I have chosen these five because they represent the breadth of my technical work: mobile apps, web backends, AI systems, and real-time features. The technical decisions documented in each study reflect the same thinking I would apply to your project.

5+

Production Apps Live

3

Store-published Mobile Apps

94%

ML Model Accuracy

500+

Active App Users

All projects

Case Studies.

GymTaar — Fitness Platform — software development case study Nepal

Flutter + Firebase + Agora · Production Mobile App

GymTaar — Fitness Platform

A production-grade fitness platform connecting gym trainers and members through real-time video calls, in-app chat, and scheduling — live on both App Store and Play Store.

#Flutter#Firebase#Agora RTC#Laravel

📊 Live on App Store & Play Store · 500+ active users

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Bus Management System — software development case study Nepal

Django + Next.js · Fleet & Ticketing Platform

Bus Management System

A web platform for managing bus fleet operations, driver assignments, route scheduling, and digital ticket sales — replacing a fully manual paper-based system.

#Django#Next.js#PostgreSQL#REST API

📊 Fleet operations digitised · 60% reduction in booking errors

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Fake News Detection (AI) — software development case study Nepal

NLP · TensorFlow · Python ML Pipeline

Fake News Detection (AI)

An NLP-powered machine learning system that classifies news articles as real or fake using TF-IDF vectorisation and LSTM neural networks, achieving 94% accuracy on the test set.

#Python#TensorFlow#NLP#scikit-learn

📊 94% classification accuracy · REST API deployed

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Emergency Response App — software development case study Nepal

Flutter · Real-Time Location · Offline-First

Emergency Response App

A Flutter mobile app enabling citizens to report emergencies with live GPS location, photo evidence, and real-time status updates — built for reliability in low-connectivity environments.

#Flutter#Maps#Firebase#Django

📊 Offline-first · Avg. 3s response location broadcast

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Real-Time Video Calling — software development case study Nepal

Flutter + Agora WebRTC · High-Quality Video SDK

Real-Time Video Calling

Embedded HD video calling inside a Flutter fitness app using Agora RTC — supporting 1-on-1 trainer sessions, group classes, and screen sharing with sub-200ms latency.

#Flutter#Agora RTC#WebRTC#Firebase

📊 <200ms latency · HD 720p on 3G connections

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Every project in this portfolio started with a conversation. Tell me what you are trying to build and I will tell you honestly whether I can help.

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