Freelancers using Appsmith
Freelancers using Appsmith
Sign Up
Post a job
Sign Up
Log In
Filters
1
Projects
People
Ammar Tahir
Sahiwal, Pakistan
UI/UX Designer crafting intuitive, modern digital experience
New to Contra
Follow
Message
UI/UX Designer crafting intuitive, modern digital experience
0
Waste Management Mobile App UI Design
0
1
0
We design MVP apps that help startups move fast, validate ideas, and launch with confidence. Our focus is on building only what matters—clear user flows, essential features, and a product experience that’s easy to understand and test.
0
12
0
Music creation experience designed to make producing music feel simple, fast, and distraction-free. The concept explores a smooth workflow for creating beats, generating music with AI, discovering sounds, and managing projects—all within a minimal and intuitive interface. The visual direction combines soft neutrals, bold orange accents, rounded cards, and spacious layouts to create a friendly yet premium music-production experience. Designed with a focus on simplicity, discoverability, and effortless music creation.
0
17
0
A modern personal finance mobile app designed to give users a clear view of their money in one place. The experience combines account balances, cards, recent transactions, deposits and withdrawals with visual expense tracking across categories like groceries, travel, health, and shopping. Bold gradients and data-driven visuals bring a distinctive identity to an otherwise practical everyday banking experience.
0
21
Appsmith
(1)
Follow
Message
Prashant Chaudhary
Delhi, India
Helping companies build AI with high-quality data
Follow
Message
Helping companies build AI with high-quality data
0
Worked on Automatic Speech Recognition (ASR) dataset annotation used for training speech-to-text AI models. The project involved labeling and segmenting audio recordings, identifying speakers, and preparing structured datasets for machine learning systems. Key responsibilities included: • Audio segmentation and timestamp labeling • Speaker identification and classification • Speech-to-text dataset preparation • Annotation quality validation and review This dataset helps train AI systems used in voice assistants, speech recognition software, and conversational AI applications.
0
124
0
Annotated computer vision datasets used for vehicle detection and Automatic Number Plate Recognition (ANPR) systems. The project involved labeling vehicles and number plates in traffic camera footage to help train AI models used in smart city infrastructure, traffic monitoring, and law enforcement systems. Key responsibilities included: • Vehicle detection using bounding box annotation • Number plate annotation for ANPR systems • Dataset preparation for computer vision models • Annotation quality validation and dataset review These datasets support AI models used in traffic monitoring systems, automated toll collection, smart parking systems, and urban mobility analytics.
0
97
0
Annotated CT scan medical imaging datasets used to train AI models for healthcare diagnostics and medical image analysis. The project involved identifying and labeling anatomical regions within CT scan images using bounding boxes and segmentation techniques to support machine learning model training. Key tasks included: • Medical image annotation and region labeling • Bounding box annotation for anatomical structures • Dataset preparation for AI model training • Quality control and annotation validation This work supports the development of AI systems used in healthcare diagnostics, medical imaging analysis, and clinical decision support systems.
0
96
0
Annotated complex dental X-ray medical imaging datasets used to train AI models for healthcare applications. The project involved precise labeling of anatomical structures including teeth boundaries, roots, and surrounding regions using polygon and keypoint annotation techniques. The objective was to generate high-quality training datasets that allow machine learning systems to accurately detect dental structures and support medical imaging analysis. Responsibilities included: • Image segmentation and polygon annotation • Keypoint labeling for anatomical structures • Dataset preparation for machine learning models • Annotation quality control and validation This work contributes to the development of AI systems used in medical diagnostics and healthcare imaging analysis.
0
108
Appsmith
(1)
Follow
Message
Explore people
