Discover Computer Vision Projects Efficiently

We’re a startup building a real-time safety intelligence platform designed to help industrial sites prevent incidents before they happen. Our tool connects to existing CCTV infrastructure and uses AI and computer vision to detect high-risk behaviours like PPE non-compliance, unsafe lifting, or unauthorised zone entry — all in real time, without relying on cloud upload.

We’re looking to speak with EHS directors, HSE managers, or senior safety consultants to help us shape the product around real-world challenges and workflows.

We’re particularly interested in professionals based in the GCC / Middle East region, as this is where we’re launching first. However, we welcome insight from EHS experts globally — especially those with experience in:

- Heavy industry, construction, fabrication or energy
- Multi-shift or high-throughput sites
- Behavioural safety programmes
- Using CCTV, audits, or software platforms for safety oversight

What to expect:

- 30–60 minute paid video interviews
- Flexible scheduling
- A chance to influence the development of a practical, frontline--focused safety tool

Discussion topics include:

- Where visibility gaps exist on your site today
- What’s working or failing in current systems
- Where technology adds value — and where it doesn’t
- Feedback on potential features, integrations and use cases

To apply:
Please send a short overview of your EHS background, including industry experience and any involvement with safety technology. We’ll follow up to arrange a time.

Thanks — we look forward to hearing from you!

Project Description:

I need help turning two existing Python models into lightweight Mac + Windows executables that can be called by another app.

The models are:

Camera Shake Detection (Optical Flow based)
→ GitHub Link

Face/Object Detection (Haar Cascade based)
→ GitHub Link

The goal is to make these into small standalone EXE files (or similar app files) that:

Take video as input (from command line or drag/drop)

Run detection

Output basic results (e.g. JSON, CSV, or TXT with timestamps or simple status)

No ML training or tuning required — this is just to wrap + prep them to run locally without Python installed (PyInstaller or similar is fine). These EXEs will be called by another app (Premiere plugin via UXP) so they should be simple + lightweight.

I'm seeking a skilled Unity Developer to create a desktop AR application for Windows. The app will use a webcam to detect a Rubik's Cube and overlay step-by-step solving instructions in AR.

Key Requirements:
- Real-time detection and tracking of Rubik's Cube using webcam input.
- Provide step-by-step solving instructions once the cube is detected.
- Display instructions through:
- Text overlay on screen
- Graphical 3D animations

Ideal Skills & Experience:
- Proficiency in Unity and AR development.
- Experience with computer vision and real-time object detection.
- Strong 3D modeling and animation skills.
- Familiarity with Windows desktop application development.

Looking forward to your bids!

Skills: C# Programming, C++ Programming, 3D Animation, Unity 3D, OpenCV

Skilled AI Developer who can build KYC Verification System Independently

We are looking for a skilled AI Developer to design and develop a KYC verification system by himself of herself. This role is critical to ensuring a secure and scalable user onboarding process through intelligent, automated identity verification.

Responsibilities:
Architect and build a robust AI-powered KYC engine from scratch
Design and implement video and image analysis workflows for ID verification
Ensure data privacy, security, and compliance with regulatory requirements
Collaborate with our blockchain and backend teams to integrate the KYC engine into our platform

Requirements:
Proven experience building and deploying AI or ML-based verification systems
Strong knowledge of computer vision, biometric analysis, and fraud detection algorithms
Hands-on experience with Python, TensorFlow/PyTorch, OpenCV, and related tools
Familiarity with KYC/AML regulatory standards is a plus
Ability to work independently and take ownership of the architecture and execution

About Us:
We are a small but fast-moving team building a secure blockchain ecosystem. Our focus is on compliance, innovation, and seamless user experience—this KYC engine is a cornerstone of our platform's security layer.

To apply, please send message starting with “AI expert”, and include a brief summary of your experience with relevant project links.

We look forward to hearing from you!

Skills: JavaScript, Python, OCR, Computer Vision, NLP

We are seeking an experienced developer to assist in plotting the X, Y, and Z axes for human pose estimation using two calibrated Basler cameras. The ideal candidate should have a strong understanding of 3D geometry and visualization techniques. You will work closely with our team to ensure accurate representation of human movements detected by the cameras. Familiarity with relevant software and programming languages is essential.

We're seeking an experienced developer to enhance and fix bugs in an existing desktop application built with Python. The software uses computer vision and AI and machine learning components to process camera feeds and send notifications through a third-party API.

-pack all software into 1 installation file
-add functions to software
-activiation mechanism

We’re developing a modular AI solution to detect theft-related behavior at self-checkout stations in supermarkets. The goal is to build a system that runs locally on an edge device (e.g. Jetson Xavier NX or Orin Nano), using video footage from an overhead camera.

This project is for the first development phase, with future expansion in mind (multi-store rollout, dashboard integration, etc.).

Phase 1 Scope:
• Develop a real-time AI model (e.g. YOLOv8 or similar)
• Detect skip scanning behavior using top-down camera view
• Run fully on-device, no cloud required
• Trigger output via:
• API call
• log file
• GPIO (relay/sound/screen optional)

⸻

Requirements:
• Must be GDPR-compliant (EU):
• Local-only processing
• No personal identification or facial recognition
• Limited or no storage (optional 24–48h on suspicious events)
• Fully transparent system behavior
• Experience with:
• Object behavior detection / computer vision
• Edge deployment on NVIDIA Jetson
• Event-based output handling (API or GPIO)

⸻

Nice to have (for future phases):
• Web dashboard for managing multiple stores/devices
• Logging and footage review interface
• Mobile notification support

⸻

Deliverables:
• Trained AI model
• Python script or application running on Jetson
• Testable demo setup with input from USB or IP camera
• Documentation + brief GDPR/AVG compliance overview

Let me know if you have experience with similar use cases. Please include examples of past computer vision projects, especially with edge deployment or retail environments.

Project description
Field Data Collection using action, DSLR, 320 cameras, GNSS, LiDAR, IMU, etc. based on set routes

Responsibilities

- Participate in client-facing meetings to explain and defend proposed edge computing architecture
- Translate business needs into technical requirements and design scalable, robust edge processing systems
- Support proposal development with high-level technical input
- Provide guidance on AI/ML model deployment at the edge (e.g., traffic sign or lane detection)
- Collaborate with business and delivery teams to define integration strategies with HERE’s mapping infrastructure
- Advise on hardware/software selection for in-vehicle processing setups (e.g., NVIDIA Jetson, Qualcomm AI chips)

Required Skills & Qualifications:

- Proven experience in projects involving edge computing or edge AI, ideally in real-time data processing environments
- Familiarity with embedded systems, on-vehicle computing, and sensor data fusion
- Solid understanding of machine learning, especially for feature extraction from imagery or LiDAR (YOLO, MobileNet, OpenCV, etc.)
- Experience in automotive, GIS, or mapping technologies is a major plus
- Understanding of cloud-edge integration patterns
- Strong communication skills and the ability to engage with enterprise clients

Preferred Tools/Platforms (optional):

- NVIDIA Jetson, Coral TPU, Edge TPU
- TensorFlow Lite, ONNX, PyTorch Mobile
- ROS (Robot Operating System), OpenCV, GStreamer
- AWS Greengrass, Azure IoT Edge

**BUDGET IS $1000**DO NOT SUBMIT A BID OR WASTE MY TIME IF YOU CANNOT DO THIS FOR THAT AMOUNT !!

I'm seeking a talented developer or a small team to create a mobile app for garage door technicians, available on both Android and iOS platforms. This innovative tool will utilize AI to streamline and enhance the technician's workflow.

Core Functionality:
- Allow users to take a photo of a garage door setup
- Use AI to detect spring type, location, and wound direction (YOLOv8 preferred)
- Calculate estimated IPPT based on door dimensions, insulation, and struts using backend logic
- Recommend correct torsion spring(s) and alternate options

Key Requirements:
- Mobile-friendly UI for both iOS and Android
- Offline mode capability
- No user authentication needed

Ideal Skills & Experience:
- Experience in Flutter for cross-platform development
- Familiarity with computer vision, Roboflow, YOLOv8, and FastAPI
- Knowledge of garage door hardware would be a bonus

This application is intended for internal technician use and will revolutionize how they assess and recommend necessary hardware.

Please DM with your experience, estimated timeline, and rate.

Skills: Java, Mobile App Development, iPhone, Android, iPad

We are seeking a developer to integrate the MetaTrader 5 (MT5) Manager API into our CRM.
The CRM is built using React and TypeScript (frontend) and Supabase for backend database management.
A C# (.NET) backend service is required to act as a secure middleware bridge to interact with the MT5
Manager API via the official DLL.
Note: If the developer does not already have a compatible backend or bridge environment, we can provide a
working base implementation of the C# middleware, which handles connection, authentication, and basic
Manager API methods.

• Please list any certifications related to this project

1. Project Snapshot
We need an MVP model + API that, given a street address, pulls aerial imagery (Google Maps / Nearmap) and returns:

A geo-aligned polygon of ONLY the roof outline (not the building footprint).

The total roof area in square metres.
Target accuracy: ≥95 % IoU on a held-out test set of Australian/NZ suburban roofs. This underpins our existing AI-quoting engine

Apply with similar projects you have built and how you would approach this. We will only review applications that have read and acknowledge this last part of the listing.

I’m looking for an experienced and innovative mobile app developer or team to help me build the first version of an AI-native fashion application.

This app will use computer vision, LLMs (GPT-4+ and voice technology to create an interactive experience for fashion-conscious users.

Please note:
This post includes only a surface-level description to protect the core IP. Full feature flow, branding, and logic will be shared after selection and NDA signing

Tech Stack (Must Have Experience In):
• GPT-4 API / OpenAI fine-tuning
• Computer Vision (Google Cloud Vision, YOLOv8, or similar)
• Voice Integration (Speech-to-text + Text-to-speech: Whisper / ElevenLabs / WebRTC)
• Mobile app development (Flutter or React Native preferred)
• Firebase or AWS backend
• Bonus: Experience building apps in fashion, style, or AI assistant categories

Start your proposal with the word ’NuFitReady’ so I know you read the whole post.”

What You’ll Be Doing:
• Building a mobile experience that includes:
• Camera-based outfit detection (no training required yet)
• LLM-powered natural language feedback
• Simple voice-enabled interaction
• Creating a modular foundation that will scale into premium and VIP features
• Working closely with a founder who already has a strong architecture blueprint in place

What I’m Looking For:
• You’re experienced with building AI-enhanced apps — not just chatbots
• You understand good UX — especially for Gen Z and fashion-forward users
• You’re reliable, flexible, and responsive
• You respect creative boundaries and IP ownership

What You’ll Get:
• Clear project milestones and prompt communication
• Direct access to the founder (me)
• Potential for long-term contract if v1 goes well
• Freedom to be creative — without micromanagement

⸻

Please include:
• 2–3 past AI-related apps you’ve worked on
• Your favorite AI tool and why
• Your availability (hours/week)
• If you work solo or with a team.

I am looking for someone familar with Luxonis Hub. Depth AI and how it is deployed on the Luxonis platform.
I want you to prove to me you know Luxonis as a product. You will combine 2 of thier known models one which is OCR and one that is Barcode Detection. and it should be able to extract the values VIA the luxonis camera.

Please respond Luxonis in the first line to be considered for this position.

Hey there! I’m building a cross-platform pose analysis system based on MediaPipe Pose Landmarker — already working on iOS (Swift) and Android (Kotlin) — and now expanding to Web (React or Next.js). I need help enabling video upload + overlay recording across all 3 platforms.

✅ What’s Already Built:
Real-time pose detection from the live camera on iOS + Android using MediaPipe Vision Tasks

Swift code uses SwiftTasksVision via Swift Package Manager

Android implementation uses MediaPipe Tasks SDK with Kotlin

Web app exists in React/Next.js, but currently only displays frontend UI without ML yet

🧩 What You’ll Build:
1. Upload Video + Run Pose Detection
Allow users to upload a pre-recorded video

Run MediaPipe PoseLandmarker on the video

Draw landmarks and skeletal lines accurately over time

Works for iOS (Swift), Android (Kotlin), and Web (React, JS, or WASM)

2. Replay Video with Overlay
After inference, replay the video with overlaid keypoints and connections

Optionally highlight body parts (shoulder, hip, etc.) and calculate angles/distances

3. Record Video With Overlay
Export the full video with the pose overlay as a downloadable file (.mov, .mp4, or .webm)

iOS: SwiftUIViewRecorder or AVAssetWriter

Android: Canvas or SurfaceView with FFmpeg or MediaCodec

Web: Canvas recording with MediaRecorder or ffmpeg.wasm

4. (Optional) Real-time feedback popups or rep counters
Animate short labels (like “Nice Form”, “Rep 5”) as overlays during playback

🛠 Stack Overview:
iOS (SwiftUI + AVKit):

Uses SwiftTasksVision for real-time pose detection

AVPlayer used for video replay, with custom OverlayView drawing

Android (Kotlin + CameraX):

Uses MediaPipe Vision Tasks SDK

Processes videos using AVAssetImageGenerator-like method

Web (React / Next.js):

MediaPipe Pose Landmarker via WebAssembly or TensorFlow.js

Draws landmarks on Canvas

Needs recording solution using MediaRecorder, OffscreenCanvas, or ffmpeg.wasm

🧠 Requirements:
Strong understanding of MediaPipe PoseLandmarker

Experience rendering synchronized overlays on video

Familiarity with video frame extraction and export across mobile & web

Able to handle coordinate transformations and mirroring (front camera vs. back camera)

Comfortable optimizing performance for large videos and browser compatibility

💰 Budget & Proposal:
Open to hourly or fixed rate — please include:

Estimate for iOS, Android, and Web scope

How you’d approach recording the overlay on each platform

Relevant demos or GitHub repos

I’ll share full source code for the current mobile apps and the web UI. I’m excited to work with someone who’s passionate about computer vision, AI, and fitness/health tracking! 💪

Project Description
We are developing a groundbreaking mobile app that leverages computer vision and augmented reality (AR) to capture precise physical measurements of a complex, organic shape with multiple points of interest. This MVP will revolutionize how users interact with a specific industry, making processes faster, more accurate, and more accessible.
What the App Will Do:
• Use computer vision (e.g., OpenCV, MediaPipe, Apple Vision) to detect and measure key landmarks on a complex object with varying dimensions and angles.
• Achieve high measurement accuracy (within 2mm) in under 10 seconds.
• Feature an intuitive, user-friendly interface that guides users to position the object correctly in front of their smartphone camera.
• Be compatible with both iOS and Android platforms.
• Export measurement data in a clean, structured format (e.g., JSON, CSV) for integration with external systems.
We are seeking a highly skilled mobile app developer with expertise in computer vision and AR technologies. The ideal candidate will have a strong background in cross-platform development (React Native or Flutter) and a passion for solving challenging, real-world problems.
Why This Project Is Exciting:
• Cutting-Edge Technology: Work with advanced computer vision and AR tools to solve a unique measurement challenge.
• Real-World Impact: Contribute to a solution that will transform an industry by making precise measurements more accessible.
• Future Opportunities: Successful collaboration on this MVP could lead to long-term involvement, including equity options, as we scale the product.

Required Skills
To ensure the success of this project, we are looking for a developer with the following expertise:
• Proficiency in React Native or Flutter for cross-platform mobile development.
• Experience with computer vision libraries such as OpenCV, MediaPipe, or Apple Vision.
• Knowledge of AR technologies like ARKit (iOS) and ARCore (Android) for scale estimation and plane detection.
• Strong understanding of mobile app development for both iOS and Android, including camera integration and user interface design.
• Ability to create intuitive, user-friendly interfaces that guide users through complex processes (e.g., object positioning for measurement).
• Experience with data processing and export formats (e.g., JSON, CSV) for seamless integration with external systems.

Deliverables
The final product should include:
• A fully functional MVP that accurately measures the specified object using a smartphone camera, meeting the 2mm accuracy requirement.
• Clean, well-documented code that can be easily maintained and scaled for future development.
• A user guide or documentation for the app to assist with testing and future iterations.

Budget and Timeline
• Budget: $10,000 - $15,000 (negotiable based on experience and proposal).
• Timeline: 3-4 months for MVP development.
We are open to discussing adjustments to the budget and timeline based on your expertise and proposed approach.

How to Apply
To help us find the best fit for this project, please submit a proposal that includes:
• A brief overview of your relevant experience, particularly in mobile app development, computer vision, or AR technologies.
• Examples of previous projects, especially those involving similar technologies or challenges.
• Your approach to building this MVP, including initial thoughts on technology stack, potential challenges, and how you would ensure measurement accuracy.
• Any questions or clarifications you might have about the project.
We are eager to collaborate with a talented developer who shares our vision for this innovative project. If you’re passionate about leveraging technology to solve real-world problems and want to be part of something truly unique, we’d love to hear from you!

About Us
We are a startup dedicated to leveraging technology to enhance consumer experiences in a specific industry. Our team consists of experienced professionals from the tech and business sectors, and we are committed to creating solutions that set new standards. This project is backed by a proprietary concept, and we aim to disrupt the market with our innovative approach.

Additional Notes
• Confidentiality: Due to the proprietary nature of this concept, selected candidates will be required to sign a Non-Disclosure Agreement (NDA) before full project details are shared.
• Future Collaboration: While this listing is for the MVP, there is potential for long-term collaboration, including equity options, as we scale the product and integrate it with external systems.

This listing is crafted to attract top-tier developers by highlighting the project’s technical challenges, innovative nature, and potential for future growth, all while maintaining confidentiality around the specific object being measured. We look forward to your proposals!

• Describe your recent experience with similar projects

I need some help with api . Need to know how to make a lost request with multipart form data .I have to convert a json file and an jpg image to multipart form data na d make a request.post() call

I need a tool that will show player,map and NPC's collision in real time in 3D Unity game. I attach an example below.

I manage a trade association in the United States that represents printers in a specific region. We have been speaking about creating a augmented and/or virtual reality training program that we can can offer to high school students. There are many advantages to this including providing those under 18 years old with to learn skills without the fear of them getting significantly injured.

Joseph

We are looking for a skilled Computer Vision and AI Engineer to work with us on building an image classification model. You will be working in a small team developing a deep learning CV project for automating tasks in a vineyard. The end goal is an AI model capable of identifying, counting, and assessing various agricultural elements in a vineyard. The team has begun early stages of development.

Key Responsibilities:

- Aid in developing pipelines for data engineering, data gathering, and data labeling.
- Aid in development and training of the image classification and segmentation models on gathered vineyard data.
- Engineer data pipelines to preprocess, augment, and label agricultural datasets.
- Build CI/CD pipelines, frameworks, and model hosting for production deployment.

Required Skills:

✅ Strong experience in Computer Vision (Deep Learning Image Classification/Segmentation & Classical CV Pipelines).
✅ Proficiency in Deep Learning algorithms and frameworks (TensorFlow, PyTorch, OpenCV).
✅ Expertise in data engineering for model training and optimization.
✅ Proficiency in Python for AI development and scripting.
✅ Familiarity with MLOps to ensure scalable and reliable deployment.

Preferred Qualifications:

Previous experience working on agricultural or remote sensing AI applications.
Experience handling large image datasets and real-time processing.
Ability to fine-tune models for edge computing.

If you have the expertise and passion for applying AI and computer vision to agriculture, we would love to hear from you! 🚀

We are seeking an expert in AI-driven quality inspection systems specifically for plastic bottle manufacturing. The ideal candidate will help us implement a reliable AI solution to ensure product quality meets industry standards. Experience with machine learning, computer vision, and image processing is essential. You will analyze defects, improve inspection processes, and provide ongoing support to optimize our operations. Join us in enhancing our quality control processes through innovative technology!

I'm seeking an expert to develop a sophisticated Natural Language Processing (NLP) chatbot.

Key Areas of Expertise Needed:
- Strong experience in NLP, especially in chatbot development.
- Proficient in machine learning model development.
- Skilled in data preprocessing and model optimization.
- Familiarity with creating AI-powered automation and decision-making systems.

Ideal Skills:
- Expertise in TensorFlow and PyTorch.
- Background in computer vision is a plus but not mandatory.

If you're passionate about creating intelligent chatbots and have the necessary skills, please get in touch.

Skills: Python, Machine Learning (ML), Natural Language, Generative AI, Large Language Models (LLMs)

I need help using PyTorch and SSD model to detect marine fish in images.

Requirements:
- Detect various fish species
- Use SSD for object detection
- Provide both annotated images and bounding box coordinates as output

Ideal Skills:
- Experience with PyTorch
- Proficiency in SSD and object detection
- Ability to generate annotated images and bounding boxes
- Background in marine biology or ecology is a plus

Skills: Pytorch, Computer Vision, YOLO

Need a developer to work on image recognition, to sort and filter out duplicate images from our digital monitoring and reporting system. We need to flexibility to determine sensitivity of duplication (70%, 80%, etc).

Need OCR recognition for numbers that appear on pictures submitted via ground team.

We're looking for a skilled AI Developer to build a powerful, AI-driven application focused on image processing, object detection, and real-time computer vision. The app will utilize cutting-edge tools like TensorFlow, PyTorch, OpenCV, Keras, and Hugging Face, supporting automation and insight extraction across various domains.
The ideal candidate will have a strong command of deep neural networks (DNNs), Neural Network model development, and fine-tuning techniques using ML/AI frameworks like Scikit-learn, NumPy, SciPy, ONNX, and Pandas. Deployment will be done using FastAPI, Flask, or Django, with potential cloud hosting via Azure Machine Learning, Vertex AI, or Google Colab. Familiarity with Amazon Rekognition API, Stable Diffusion, and NVIDIA NeMo is a plus.
Responsibilities:
Build and train custom AI models for image and facial recognition, object tracking, and OCR
Leverage AI coding tools for model development and training
Integrate models with APIs (RESTful, ChatGPT API, OpenAI API)
Support AI automation and AI apps & integration on scalable platforms
Develop using Python, AI Machine Learning, and AI Deep Learning stacks
Deliverables:
A production-ready AI-powered app
Documented APIs for future AI model integration
Dashboard or CLI with visualization (TensorBoard/JupyterLab)
GitHub repository with clean, modular code
How to Apply:
To be considered, share:
Your GitHub profile showcasing similar projects
Links to past AI application areas (OCR, ASR, CV, etc.)
Any work involving DeepSpeed, Accelerate, or LangChain

POC Request – Booking Agent Automation System (using VAPI, Make, and Airtable)

Objective:
Develop a quick proof of concept to automate the capture and management of appointment-related inquiries across multiple channels.

Required Functionality:

Ingest inbound requests from the following sources:
Phone calls (via VAPI)
Website forms
Direct email inquiries
Categorize each inquiry into one of the following types:
New appointment request
Reschedule request
General inquiry
Route all inquiries into a centralized intake workflow, segmented by hospital location.
Store appointment data in Airtable and sync confirmed appointments with a calendar (e.g., Google Calendar or Outlook).

We are seeking a skilled developer to troubleshoot and resolve errors arising from object detection using our new CPP node. The ideal candidate will have a strong background in computer vision and experience with C++ programming. You should be able to diagnose issues effectively and implement solutions to enhance the performance of our object detection system. Strong analytical skills and attention to detail are essential for this role.

I need a Transformer VIT model to build a high-accuracy biometric authentication using eyemovement system for user identification. The system will use the TEyeD dataset.

Requirements:
- load the dataset
- preprocess the data
- Utilize a pre-trained Transformer VIT model
- Focus on eye movement data for user identification
- Achieve high accuracy in authentication

Ideal Skills:
- Expertise in Transformer models and VIT
- Experience with biometric authentication systems
- Proficiency in handling and processing the TEyeD dataset
- Strong background in machine learning and computer vision

Please provide relevant experience and a brief plan to achieve the desired accuracy.

Skills: C Programming, Algorithm, Machine Learning (ML), C++ Programming, Data Mining

We are looking for an FPGA Developer to help in a computer vision project. The first task would be to work on an image sensor readout module for an Onsemi XGS12000 sensor on an AMD Kintex UltraScale FPGA.
But there is plenty of additional work on top of this first step.

We are looking for a computer vision specialist with proven experience in YOLOv8 to develop a custom object detection system tailored to our industrial environment for identifying, counting, and classifying wooden pallets.

The goal is to automate key processes in our factory, such as:

Detecting different types of pallets (new, used, refurbished, etc.).

Identifying damaged pallets.

Automatically counting inventory using cameras.

Visually classifying pallets based on physical characteristics.

We are seeking a skilled professional to calibrate two cameras, focusing on both intrinsic and extrinsic parameters. The project involves setting the point of origin to a specific table. The ideal candidate should have experience in camera calibration techniques and be familiar with relevant software tools. Attention to detail and strong problem-solving skills are essential for ensuring accurate calibration results.

We are seeking an experienced AI Engineer to develop a cutting-edge virtual try-on application tailored for the Indian fashion market. The ideal candidate should have a strong background in computer vision, machine learning, and experience with augmented reality technologies. You will work closely with our design and development teams to create an intuitive and user-friendly app that enhances online shopping experiences. If you are passionate about fashion technology and have a track record of similar projects, we would love to hear from you.