endorsedCompleted

Project Uplift — AI Web Platform & Mobile App for EngenderHealth

Services Covered:

AI and Machine Learning • Custom Software Development • Mobile Application Development

Industry

Non-profit Organizations

Duration

42 months

Budget

Less than 10K

Start Date

1 February 2021

Team Size

1-5 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

80/100

Strong

Project Capability Score (PCS) estimates how capable Hiteshi Infotech is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

EngenderHealth

Washington, United States of America

Project Summary

Hiteshi built Project Uplift, a custom web-based platform with AI features for EngenderHealth, and delivered cloud infrastructure and mobile apps for iOS and Android. The solution included a predictive analysis engine and offline-capable mobile data capture for field teams across 15 countries. The platform produced actionable insights (for example, identifying clinic-hour conflicts) and led to a visible increase in adolescent visits within two months. The vendor adhered to deadlines and implemented privacy safeguards that exceeded global standards.

Key Challenges

Disconnected field data across 15 countries
Data fragmented in spreadsheets, paper forms, and local databases
Inability to identify trends affecting vulnerable groups
Need for a unified intelligence system to predict where help was needed most urgently

Project Deliverables

Custom web-based platform
Predictive analysis engine
Mobile app for iOS and Android
Secure cloud-based system with offline data entry

Project Solution

Hiteshi designed and developed Project Uplift: a secure, cloud-hosted web platform with AI-driven predictive analysis and offline-capable mobile apps for iOS and Android. They implemented a cloud infrastructure and data-capture workflows for field teams, built a predictive analysis engine to surface trends, and integrated backend services using Python and Amazon Connect. The team supported deployment and field usage, enabling weekly check-ins and iterative feature development.

Project Outcome

Visible increase in adolescent visits within two months
Identified underuse drivers (clinic hours conflict) enabling targeted adjustments
Rapid prototyping of requested feature in about 10 days without delaying delivery
Privacy safeguards exceeded global standards

Platforms

Web
Mobile
Cloud

Tech Stack

Python
Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The platform worked according to specifications, resulting in a visible increase in visits within two months. Hiteshi acted as true professionals, treating the project with utmost care to ensure the client was satisfied with the outcome. The team also adhered to deadlines and was easy to work with.”
Traci Baird
CEO & Founder
Date: 05/29/2025