LLMob is an intuitive framework that builds reasoning logic for LLMs in the context of personal activity trajectory generation.
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May 30, 2025 - Python
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LLMob is an intuitive framework that builds reasoning logic for LLMs in the context of personal activity trajectory generation.
Aiming to achieve ultimate Multilingual TTS pipeline with main focus on releasing COQUI🐸TTS(Text-to-Speech) based high performing neural voice cloning systems for Bangla for the first time, supporting different SOTA models for Bangla and also Multilingual (Arabic+Bengali) code mixed TTS pipeline.
Learn AI's role in addressing complex challenges. Build skills combining human and machine intelligence for positive real-world impact using AI
Repository for the paper "Deciphering Environmental Air Pollution with Large Scale City Data", IJCAI 2022
Cross Lingual Language models for making search engines for Holy Quran and Sahih Hadiths
Hackathon winner at AI Engineer World Fair Hackathon: Transforming code, one function at a time, to reduce digital carbon footprints and create a more sustainable digital world.
AI for Good Specialisation by DeepLearning.ai
Online Knowledge Graph Embeddings on Social Media(Twitter) in the Health care Field
An AI-powered embedded system that captures real-time images, generates descriptive captions using Qwen, and reads them out loud to assist the visually impaired.
A Flutter-based mobile application prototype designed to assist blind and low-vision (BLV) users by providing real-time scene understanding. The app uses a powerful Python/FastAPI backend with a hybrid AI engine, combining the speed and intelligence of the Google Gemini API with the offline reliability of a local Llava VQA model.
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