Trinetra is an AI-powered assistant that streamlines data preprocessing by cleaning, labeling, and structuring raw datasets—quickly converting messy data into clean, organized, model-ready formats.
Trinetra is an AI-powered assistant that automates the preprocessing of raw data for machine learning. It handles data cleaning, labeling, and structuring with minimal human input — turning messy, unstructured datasets into clean, model-ready formats in seconds.
By streamlining one of the most time-consuming stages in the ML pipeline, Trinetra empowers developers and data scientists to focus on what truly matters: building and deploying intelligent models faster.
Built with love at H4B Virtual Hack, Trinetra is your third eye for data clarity.
During the hackathon, we transformed Trinetra from concept to reality by building a solid working prototype. Here's what we accomplished: ✅ Designed a modern, animated landing page using HTML, CSS, and Tailwind CSS to reflect Trinetra’s futuristic theme. ✅ Integrated a looping animated video background for a sleek, 3D-like interface. ✅ Developed the project branding and name identity, transitioning from "DataWIZ" to Trinetra with updated visuals and messaging. ✅ Created core frontend UI components in preparation for integration with backend logic. ⚙️ Started setting up the backend structure to handle dataset uploads and preprocessing logic. 📂 Prepared assets and layout for integrating AI-powered features like data cleaning and labeling. We focused on rapid prototyping and visual polish to create a compelling first impression for users and judges. Our next steps include connecting the UI to actual data processing using LLMs and Pinecone.
