Flutter package to wrap Amazon artificial intelligence (AI) services, which provide flutter community developers with the ability to add intelligence to their applications through an API call to pre-trained services rather than developing and training their own models. Amazon AI services are : * Amazon Rekognition : built on technology used by Amazon Prime Photos to analyze billions of images daily, is a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images, as well as search and compare faces between images. * Amazon Polly (still not implemented): a service that turns text into lifelike speech. Polly lets you create applications that speak in over two dozen languages with a wide variety of natural sounding male and female voices to enable you to build entirely new categories of speech-enabled products. * Amazon Lex (still not implemented) : uses the same technology as Amazon Alexa to provide advanced deep learning functionalities of automatic speech recognition (ASR) and natural language understanding (NLU) to enable you to build applications with conversational interfaces, commonly called chatbots.

Generate personalized courses, learning roadmaps, project and interview prep with AI Tutor Lyra, access 3,000+ free resources with 20+ Tech career Roadmaps and receive personalized daily job alerts on WhatsApp.

AI Toolbox: A collection of AI-powered tools for various tasks, including image content detection, face detection, sentiment analysis, language detection, BMI calculation, and text-to-speech conversion. Simplify your daily tasks with advanced deep learning and machine learning algorithms

This repository, 300Days_GenerativeAI, is dedicated to 300 days of continuous learning focused on generative AI, studying different books and research papers daily. I'll revisit past learnings, update my understanding, and dive deeper into generative AI's intricacies.

100 Days of AI & Machine Learning 🚀 | Building 100 projects in 100 days — covering AI Automation, ML, Deep Learning, Data Science, MLOps & more. Daily code, demos, and learnings. By Me

A complete collection of my daily LangChain learning — from basics to advanced applications in LLMs, agents, and AI workflows.

a smart tool that creates personalized learning schedules. using ai, it tailors daily tasks for your learning journey, automatically syncing them with your google calendar. tailor your learning experience with ease and efficiency.

An all-in-one Diabetes management and monitoring solution with a precise machine learning model. The user-friendly website offers daily tasks, latest blogs, an AI chatbot and health plan suggestions.

An automated AI-ready web scraper and daily dashboard designed for developer continuous learning. Stay updated with the latest in tech, frameworks, and market trends from top sources.

An AI learning diary that writes itself daily. Powered by OpenClaw.

A comprehensive guide to crafting effective prompts for AI tools like ChatGPT and Google Bard. This project explores techniques for generating specific, accurate responses from AI, integrating prompt engineering into daily workflows, and maintaining a continuous learning curve in the AI-driven landscape.

Visual impairment entails significant challenges for persons to perform their daily activities and could ultimately reduce the quality of life. A realistic perception of the environment is important for persons with visual impairments to provide an intuitive awareness of the physical surrounding for protection against hazards and to facilitate social inclusion. These group of people require continuous assistance in real time during their movement to and fro. Researchers and scientists have been trying to develop automatic navigation systems to assist those people in the activities of their daily living [1]. The proposed project proposes an indoor navigation system for persons with visual impairment using computer vision and machine learning. Here, an intelligent decision support system (DSS) based on artificial intelligence i.e. machine learning will be developed to reliably sense the environment by using cameras, translate the information, navigate and suggest personalized decisions to persons with visual impairments. The goal of this project is to develop a standalone navigation system using FPGA/raspberry pi board and Artificial Intelligence (AI) algorithms which can be used for visually impaired people. The proposed solution is designed for indoor use only (house, office, etc.). It provides the visually impaired person the ability to navigate without any other hardware assistance. In the project, one camera will be used for streaming surrounding environment and the FPGA/ raspberry pi system will able to help for navigation in the environment. There are several methods to perform this kind of tasks such as image GPS, image and so on [2, 3]. In this project the aim is to use image processing-based navigation system and navigation command can be either text or voice or any other format. For example, there is an obstacle after 5 meters ahead, or there is a cat 3 meter in left etc. The system should have one or more AI algorithms.

Your proactive AI learning companion that turns daily work into continuous mastery.

Daily Python and AI practice. Tracking my learning journey with small programs, exercises, and mini-projects.

AI-powered personal command center with JARVIS RAG integration for daily planning, tasks, learning, career and projects management.

A streamlit webapp built for developers and lifelong learners to log daily learning activities, VISUALIZE progress, and receive personalized AI productivity insights.

This project uses simulation and multi-objective optimization to generate efficient train induction plans. • Employs machine learning and reinforcement learning to adapt daily operational strategies. • Explainable AI Provides transparent decisions for train allocation

The programming learning path recommendation system, developed by Nguyễn Phan Đức Minh, personalizes learning based on career goals, current skill level, daily study time, and mathematical–algorithmic ability. It leverages AI to analyze user information and provide an optimal learning path, suitable for beginners through advanced learners.

A collection of 100 modern Python projects ranging from beginner to advanced levels. Includes AI tools, automation scripts, data science apps, and unique real-world solutions. Perfect for daily learning, portfolio building, and mastering Python through hands-on coding.

The AI Assistant is a Python-based voice-activated tool designed to simplify daily tasks through intelligent automation and natural language interaction. Equipped with advanced features such as speech recognition, text-to-speech, and a pretrained machine learning model, this assistant delivers a seamless and user-friendly experience.

paper-daily is a lightweight open-source project designed to help AI researchers, developers, and enthusiasts keep up with the fast-evolving landscape of machine learning and artificial intelligence. It automatically tracks, filters, and summarizes the latest papers from platforms like arXiv and OpenReview, surfacing the top papers every day.

Recored my daily learning steps...

FinLearn AI — A gamified, AI-powered platform that makes financial learning interactive, personalized, and part of your daily life.

Crypto trading system with deterministic scoring, AI-assisted screening, risk controls, execution, and daily learning.

My daily learning notes and practice for DevOps, System Design, and AI basics as an aspiring software engineer.

An automated AI news aggregator that fetches the latest AI and machine learning news, generates summaries using OpenAI, and sends daily email digests via Resend.

Databricks 14-Days AI Challenge is designed to build a strong foundation Databricks through daily learning, hands-on practice, and real-world problem solving.

This repository represents my work and learning throughout the GDGGOC AI/ML & Data Science Fellowship. It contains daily learning updates, weekly reflections, hands-on machine learning tasks, data preprocessing, model building, evaluation, and real-world projects implemented using Python and modern AI/ML tools.

An AI-powered Spring Boot application that generates notes, daily practice papers, and tests, schedules them automatically, and sends email reminders to enhance student learning.

AIMate 👩‍💻 is an advanced AI-powered personal assistant app designed to enhance productivity and improve daily life. It leverages state-of-the-art technologies such as Natural Language Processing (NLP) for voice commands, machine learning for predictive analytics and personalized recommendations, and computer vision for image and face recognition