Automatically transcribe uploaded meeting audio/video files, summarize them using NLP, and highlight key points/action items in a user-friendly interface.
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Updated
Jul 2, 2025 - Python
Automatically transcribe uploaded meeting audio/video files, summarize them using NLP, and highlight key points/action items in a user-friendly interface.
This is a simple web application for a blog. It allows users to register, login, create, update, and delete posts.
A repository on shine, a generative AI + TiDB severless with vector search educational platform
All in one batch image resizer, optimizer(compressor) and converter.
this is a chatbot app that is trained on the chatbot dataset. The link to the app is-> https://my-personal-chatbot.herokuapp.com/
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Creating web dashboard to filter and categorize UFO data using Javascript.
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A modern medical office management app built with Ionic + Angular and Flask + MongoDB, featuring role-based access for doctors and patients, secure authentication, appointment scheduling, messaging, and real-time notifications.
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Heart Disease Classifier Web App – A Flask-based AI model that predicts heart disease risk with 89% accuracy. Built with ML, Tailwind CSS, and interactive UI. 🚀
A rainfall prediction website utilizing Flask framework for backend connectivity and HTML rendering, seamlessly integrating user requests with dynamic template rendering.
Automated chicken disease classification using CNN and fecal image analysis. Includes data pipeline, model training, and web interface for real-time predictions.
Final year undergraduate project
⚡ Fun fact: The first rule of programming- if it works, don’t touch it.🤓 💻 Things I love Python Backend Development ✍️ Machine Learning 🧐 Data Science 😬
Autobot is an innovative tool powered by Machine Learning (ML) and Large Language Models (LLMs) that transforms simple text prompts into creative outputs like music, videos, images, text, and even code. Built with Next.js and integrated with Replicate AI, it’s designed to simplify content generation and unlock creative possibilities for users.
Hybrid Laravel + Flask web application to predict Coconut Rhinoceros Beetle impact using machine learning.
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