LinguaGenAI, an interactive online platform designed for learners of the German language. LinguaGenAI utilizes a Node.js backend with Express, MongoDB, and Mongoose for database interactions, and EJS for view rendering. The frontend is built with vanilla JavaScript and Bootstrap. AI-powered chat interactions are facilitated by OpenAI's chat_completions, with speech-to-text and German entertainment content integration. The platform offers personalized dashboards with lessons categorized by language proficiency, AI-driven chat for practicing conversational German, progress tracking to document user advancement, a collection of German memes, jokes, and text posts, and lessons tailored to the user's known vocabulary and proficiency level.

• Image registration and stitching for different modalities (SEM,LOM, EBSD maps etc.) thus improving label accuracy• Prior austenite grain detection in EBSD data using mtex• Data processing using OpenCV (de-noising, histogram eq., non-linear transform correction etc.) to improve data cohesion• Deep learning model training for Semantic segmentation andInstance segmentation along with hyper-parameter optimization• Synthetic LOM generation from phase field simulation to creategeneral- ized image feature embedding

GUI Development and Incorporation of encryption on internalcommunication and diagnostic modules.• Development of obstacle detection system and Bug fixes in ourflagship project (CraneAI).

• Implemented traversal graph for phone screenshot using Clustering.• Designed architecture For Al-based quality tests for Android apps.• Created REST APIs in C# .Net to perform AI-based quality test.• Lead the development for website traversal engine fromarchitecture design to feature updates.• Developed traversal engine for IOS apps and NVIDIA Shield.