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Web-Based Facial Recognition Platform for Facepinpoint

Services Covered:

API Development • Custom Software Development • Web Application Development
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Industry
Industry

Information Technology

Duration
Duration

11 months

Budget
Budget

10K - 49K

Start Date
Start Date

1 January 2016

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
74/100
Good

Project Capability Score (PCS) estimates how capable Ditstek Innovations Pvt. Ltd. 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

Facepinpoint

mapLos Angeles, United States of America

Project Summary

Ditstek Innovations developed a web-based facial recognition application for Facepinpoint that integrates with Python APIs and web-crawls a large image database. The vendor implemented face detection and recognition, mobile ID verification, two-way video verification, an admin interface and dashboards, and delivered the project following agile methodologies. The client praised the team's performance focus, scalability, reliability, timely delivery, and transparent communication.

Key Challenges

  • Create a web-based facial recognition application
  • Pinpoint and match users' intimate images published online without consent across a large image dataset

Project Deliverables

  • Web-based face recognition platform
  • Python APIs
  • Face recognition and detection models (deep learning)
  • Mobile ID verification
  • Two-way video verification (Twilio)
  • Admin and controller interface
  • Dashboard
  • Feedback, invoice, ticket and coupon management
  • Deployment, end-to-end testing and ongoing support

Project Solution

Built a web-based face recognition platform that interacts with Python APIs and crawls a large image dataset. Implemented face detection and deep-learning recognition models, two-factor authentication, mobile ID verification using computer vision, and two-way video verification via Twilio. Delivered admin/controller interfaces and dashboards with feedback, invoice, ticket and coupon management, and provided end-to-end testing, deployment and ongoing support following agile processes.

Project Outcome

  • Timely delivery of milestones and on-time deliverables
  • High-performance, scalable, and reliable application meeting functional and technical requirements
  • Robust, thoroughly tested, and largely bug-free application
  • Improved collaboration and transparent communication enabling seamless development

Platforms

  • WebWeb

Tech Stack

  • PythonPython
  • RESTful APIRESTful API
  • TwilioTwilio

Client Endorsement

Overall Review Rating

5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Ditstek Innovations delivered an app with a strong focus on performance, scalability, and reliability, meeting all functional and technical requirements. The team showcased a well-organized, proactive, and transparent approach, delivered everything on time, and followed agile methodologies.”

LIONEL HAGEGE

CEO

Note: This endorsement is based on publicly available client feedback from external review sources.

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