In order to help students and job seekers in their journey of job hunting, from our experience we got the idea to start the project after the successful result of the first prototype that we build for personal use (massive job hunting). The app extract the data of given job (link of Linkedin or any job search platform) and use it to build a short insight that focus on the important key words, required Skills, level of education and information about the company. The extracted job data and the user data (Resume, Profile) will be used as input of the processing box (the sniper agency), It has Intelligente agent that use many tools and technique to produce results for example : The NLP text generator (we call it the philosopher) that produce a perfect motivation letter based on the input and some other predefined data. the second agent "The advisor" : it help the user to know the job skill set that he needs to master before applying to the job he is interested in, even we suggest online courses based on users rating, in general we use prediction models in this part.

Project Navigator is an AI-powered project idea generator that helps learners create personalized learning paths through hands-on projects. It uses the Groq AI model to generate customized project suggestions based on your interests, skill level, and time availability.

Campus TeamUp is a collaborative platform for college students to find or form the perfect team for hackathons, projects, and technical competitions. Whether you're a developer, designer, or idea generator, Campus TeamUp helps you find teammates that match your skills and vision.

# Trybe This repository contains all the learning activities developed by João V.S Dias https://www.linkedin.com/in/diasvictorj/_ while studying at [Trybe](https://www.betrybe.com/) :rocket: _"Trybe is a school of the future for anyone who wants to improve their life and build a successful career in technology, where people only pay when they get a good job."_ The program has more than 1,500 hours of classroom and online classes, covers an introduction to software development, front-end, back-end, computer science, software engineering, agile methodologies and behavioral skills. ## Web Development Fundamentals :white_check_mark: ##### Block 1: Introduction - Unix & Shell - [ ] 1-3: _Unix & Shell- Part 1_ - [ ] 1-4: _Unix & Shell- Part 2_ ##### Block 2: Git & GitHub - [ ] 2-1: _What is it and what is it for?_ - [ ] 2-2: _Understanding the commands_ - [ ] 2-3: _Internet - Understanding how it works_ ##### Block 3: Introduction - HTML & CSS - [ ] 3-1: _HTML & CSS - Page Structures_ - [ ] 3-2: _HTML & CSS - Getting Started with CSS_ - [ ] 3-3: _HTML & CSS - Selectors and positioning_ - [ ] 3-4: _Semantic HTML_ - [ ] 3-5: _[Project - HTML & CSS]()_ ##### Block 4: Introduction - JavaScript - [ ] 4-1: _JavaScript - First steps_ - [ ] 4-2: _JavaScript - Array and For_ loop - [ ] 4-3: _JavaScript - Programming Logic and Algorithms_ - [ ] 4-4: _JavaScript - Objects and Functions_ - [ ] 4-5: _[Project - Playground Functions]()_ ##### Block 5: Introduction - JavaScript - Projects - [ ] 5-1: _JavaScript - DOM and selectors_ - [ ] 5-2: _JavaScript - Working with elements_ - [ ] 5-3: _JavaScript - Events_ - [ ] 5-4: _JavaScript - Web Storage_ - [ ] 5-5: _[Project - Meme Generator]()_ - [ ] 5-6: _[Project - Pixel Art]()_ - [ ] 5-7: _[Project - Task List]()_ - [ ] 5-7: _[Project - Guess the Color]()_ - [ ] 5-7: _[Project - Mysterious Letter]()_ ##### Block 6: Advanced HTML & CSS - [ ] 6-1: _HTML & CSS - Forms_ - [ ] 6-2: _JavaScript Libraries and CSS Frameworks_ - [ ] 6-3: _CSS Flexbox - Part 1_ - [ ] 6-4: _CSS Flexbox - Part 2_ - [ ] 6-5: _CSS Responsive - Mobile First_ - [ ] 6-6: _[Project - Facebook homepage]()_ ##### Block 7: JavaScript ES6 & Unit Tests - [ ] 7-1: _JavaScript ES6 - let, const, arrow functions and template literals_ - [ ] 7-2: _JavaScript ES6 - Objects_ - [ ] 7-3: _Unit tests in JavaScript_ - [ ] 7-4: _[Project - JavaScript Unit Tests]()_ ##### Block 8: JavaScript ES6 - [ ] 8-1: _JavaScript ES6 - Higher Order Functions - forEach, find, some, every, sort_ - [ ] 8-2: _JavaScript ES6 - Higher Order Functions - map and filter_ - [ ] 8-3: _JavaScript ES6 - Higher Order Functions - reduce_ - [ ] 8-4: _JavaScript ES6 - spread operator, rest parameter, destructuring and more_ - [ ] 8-5: _[Project - Zoo functions]()_ ##### Block 9: Asynchronicity & Callbacks - [ ] 9-1: _Asynchronous JavaScript and Callbacks_ - [ ] 9-2: _JavaScript Promises_ - [ ] 9-3: _[Project - Shopping Cart]()_ ##### Block 10: Jest - [ ] 10-1: _First steps in Jest_ - [ ] 10-2: _Jest - Asynchronous Tests_ - [ ] 10-3: _Jest - Simulating behavior_ - [ ] 10-4: _[Project - Asynchronous Jest and Mocking]()_ ## Front-end development :hourglass_flowing_sand: ##### Block 11: Introduction - React - [ ] 11-1: _'Hello, world!' on React!_ - [ ] 11-2: _React Components_ - [ ] 11-3: _[Project - Movie Cards Library]()_ ##### Block 12: React - [ ] 12-1: _Components with status_ - [ ] 12-2: _Events and forms in React_ - [ ] 12-3: _[Project - Movie Cards Library Stateful]()_ ##### Block 13: React - [ ] 13-1: _Improving component reuse: props.children and PropTypes_ - [ ] 13-2: _Component lifecycle in React_ - [ ] 13-3: _React Router_ - [ ] 13-4: _[Project - Movie Cards Library CRUD]()_ ##### Block 14: Agile Methodologies - [ ] 14-1: _Agile Methodologies_ - [ ] 14-2: _[Project - Frontend Online Store]()_ ##### Block 15: Tests in React - [ ] 15-1: _Testing React with the React Testing Library_ - [ ] 15-2: _Testing React with the React Testing Library - Part 2_ - [ ] 15-3: _[Project - Tests in React]()_ ##### Block 16: Introduction to Redux - [ ] 16-1: _Introduction to Redux_ - [ ] 16-2: _React with Redux - Part 1_ - [ ] 16-3: _React with Redux - Practice_ - [ ] 16-4: _React with Redux - Part 2_ - [ ] 16-5: _Synchronous tests with React-Redux_ - [ ] 16-6: _[Project - Table with data filters]()_ ##### Block 17: Project React - [ ] 17-1: _[Project - Trivia Game]()_ ##### Block 18: React & Context API - [ ] 18-1: _Context API of React_ - [ ] 18-2: _React Hooks - useState and useContext_ - [ ] 18-3: _React Hooks - useEffect and Custom Hooks_ - [ ] 18-4: _[Project - StarWars Datatable with Context API and Hooks]()_ ##### Block 19: Front-end Final Project - [ ] 19-1: _[Project - Recipe App]()_ ## Back-end Development :hourglass_flowing_sand: ##### Block 20: Introduction - Relational Databases - [ ] 20-1: _SQL Database_ - [ ] 20-2: _Finding data in a database_ - [ ] 20-3: _Filtering data specifically_ - [ ] 20-4: _Manipulating tables_ - [ ] 20-5: _[Project - All For One]()_ ##### Block 21: Relational Databases - [ ] 21-1: _Most used functions in SQL_ - [ ] 21-2: _Uncomplicating JOINs and UNIONs_ - [ ] 21-3: _Stored Routines & Subqueries_ - [ ] 21-4: _[Project - Vocabulary Booster]()_ ##### Block 22: Relational Databases - [ ] 22-1: _Transforming ideas into a database model_ - [ ] 22-2: _Normalization, Normal Forms and Dumps_ - [ ] 22-2: _Turning ideas into a database model - Part 2_ - [ ] 22-3: _[Project - One For All]()_ ##### Block 23: Introduction - NoSQL - [ ] 23-1: _MongoDB - Introduction_ - [ ] 23-2: _Filter Operators_ - [ ] 23-3: _[Project - Date Flights]()_ ##### Block 24: Updates - [ ] 24-1: _Simple Updates_ - [ ] 24-2: _Complex Updates - Arrays - Part 1_ - [ ] 24-3: _Complex Updates - Arrays - Part 2_ - [ ] 24-4: _[Project - Commerce]()_ ##### Block 25: Aggregation Framework - [ ] 25-1: _Aggregation Framework - Part 1_ - [ ] 25-2: _Aggregation Framework - Part 2_ - [ ] 25-3: _[Project - Aggregations]()_ ##### Block 26: Intro - NodeJS - [ ] 26-1: _NodeJS - Introduction_ - [ ] 26-2: _NodeJS - Asynchronous Flow_ - [ ] 26-3: _NodeJS - Architecture_ - [ ] 26-4: _[Project - A CLI of Ice and Fire]()_ ##### Block 27: NodeJS - [ ] 27-1: _Express: HTTP with Node.js_ - [ ] 27-2: _Software Architecture - Introduction to MVC_ - [ ] 27-3: _[Project - Cookmaster]()_ ##### Block 28: NodeJS - [ ] 28-1: _Software Architecture - Service Layer_ - [ ] 28-2: _Web Architecture - Rest and Restful_ - [ ] 28-3: _[Project - Store Manager]()_ ##### Block 29: NodeJS - [ ] 29-1: _NodeJS - JWT - (JSON Web Token)_ - [ ] 29-2: _NodeJS - Upload files with Multer_ - [ ] 29-3: _[Project - Cookmaster V2]()_ ##### Block 30: Introduction - Deploy - [ ] 30-1: _Infrastructure - Deploy with Heroku_ - [ ] 30-2: _Deploy - Process Managers_ - [ ] 30-3: _[Project - Stranger Things]()_ ##### Block 31: Project - [ ] 31-1: _[Project - Trybeer]()_ ##### Block 32: Software Architecture - [ ] 32-1: _Architecture - SOLID Principles_ - [ ] 32-2: _ORM - Application interface with the database_ - [ ] 32-3: _Software Architecture - DDD_ - [ ] 32-4: _Good practice writing tests_ - [ ] 32-3: _[Project - Blogs API]()_ ##### Block 33: Sockets - [ ] 30-1: _Sockets - TCP/UDP & NET_ - [ ] 30-2: _Sockets - Socket.io_ - [ ] 30-3: _[Project - Webchat]()_ ##### Block 34: Project - [ ] 34-1: _[Project - Trybeer V2]()_ ## Computer Science :hourglass_flowing_sand: ##### Block 35: Introduction - Computer Science - [ ] 35-1: _Computer Architecture_ - [ ] 35-2: _Network architecture_ - [ ] 35-3: _Computer networks, tools and security_ - [ ] 35-4: _[Project - Exploring the protocols]()_ ##### Block 36: Python - [ ] 35-1: _Learning Python_ - [ ] 35-2: _Tests and Exceptions_ - [ ] 35-3: _Data Input and Output_ - [ ] 36-4: _Data Input and Output_ - [ ] 35-5: _[Project - Tech news]()_ # [...]

ProjectPal is an AI-driven project idea generator built with Python + Streamlit, designed to help students, developers, and learners get personalized project suggestions based on: 👨‍💻 Their skills (e.g., Python, Unity, Flutter, SQL) ⏱ Their available time (in days) 🌐 Their target domain (e.g., AI/ML, Web, Mobile, Game Dev)

A fun project idea generator using HTML, CSS, JavaScript, GenAI-inspired logic.

Claude skill that analyzes your chat history to find Claude skill startup ideas

赚钱灵感生成器 | Money Idea Generator

Nano Banana 2 prompt library + auto-generator. Write ideas → Gemini Flash writes expert prompts → Api generates 4K images. Claude Code skill included.

Generate random project ideas by combining problem domains, actions, and target audiences.

No description available

A ai Business idea Generator that help to find business idea according to skill

Codex skill for turning vague image ideas and refs into precise generator-ready prompts

Social-agent skill generator that turns guided interviews into reusable expression-agent skills for explaining ideas, judgments, and expertise.

IdeaSpark – an AI Startup Idea Generator that uses GPT, trend data, and user inputs (skills, interests) to create viable startup ideas.

A repository to write from different programming languages, passwords generators. The main idea for this repository is to develop programming skills in different languages.

The Deltarune Prophecy Generator at deltaruneprophecy.net is the ultimate free tool that lets you turn your ideas into beautifully styled prophecy panels—no Photoshop skills required!

AI side hustle generator is a simple web tool designed to help people discover profitable side hustle ideas based on their skills or interests. Users just enter a skill, hobby, or area of interest (for example:fitness, writing, cooking or design), and the app instantly generates a side hustle idea they can start with that skill

AI-powered business idea generator that transforms your skills and interests into profitable opportunities. By analyzing real Reddit discussions, market trends, and your personal profile, IdeaSpark discovers genuine pain points and generates personalized business ideas with market validation.

DevCraft – AI-Powered Project Idea Generator & Development Planner is a FastAPI-based application that uses LLMs to generate personalized software project ideas, feature breakdowns, tech stack recommendations, and step-by-step development roadmaps based on user skills, interests, and goals.

The Business Idea Generator is an innovative tool designed to help entrepreneurs, startups, and aspiring business owners generate unique and profitable business ideas. By leveraging AI, market trends, and user inputs, the platform provides tailored suggestions based on industry interests, skills, budget, and emerging trends.

AI DIY Project Generator creates personalized project ideas from concepts or lecture transcripts. It adapts to user skill level and suggests tasks in coding, hardware, design, or research, with helpful templates and hints using AI.

“Career GPS” (Step-by-Step Career Path Generator) 🚨 Problem People don’t know: What to learn next How to reach target roles 🚀 Idea User enters: Current skills Target job (e.g., Data Scientist) Platform gives: Step-by-step roadmap Projects to build Skills gap analysis

🚀 *PROJECT TITLE:* ## *AI-Driven Interview Question Generator for CS Students* --- # 🧠 *PROJECT IDEA (Simple Explanation)* This website intelligently generates *new, unique, personalized interview questions* for each user based on: * Their skills * Their past performance * Difficulty level * Topic selection

Persona Portfolio is a modern, responsive, and personalized website designed to showcase professional skills, projects, and experiences. It features a clean design, an AI-powered project idea generator, and sections for an "About Me" bio, project showcase, and contact information.

Sora Video Generator is a Streamlit app for effortless AI video creation. Just describe your idea in one sentence—no tech skills needed. It uses Azure OpenAI to craft prompts for the Sora API, handling everything from submission to download.

# PRD Generator — Claude Skill A Claude skill for producing clear, actionable Product Requirements Documents. Give it a feature idea, a rough initiative description, or a brain dump — it asks just enough questions to fill in the gaps, then generates a complete PRD as a formatted `.docx` your engineering and design teams can act on immediately.

Acharya AI is a personalized roadmap generator that helps users master new skills by creating curated, step-by-step learning paths. Powered by Google Gemini and Streamlit, it offers high-quality resources, project ideas, and a visually engaging interface to make learning interactive and enjoyable.

AI_Recipe_Generator uses artificial intelligence to create personalized recipes based on available ingredients, dietary needs, and preferred cuisines. It helps users discover new meal ideas, reduce food waste, and enjoy cooking with tailored suggestions.It offers an intuitive, interactive, and unique cooking experience for all skill levels.

AI_Recipe_Generator uses artificial intelligence to create personalized recipes based on available ingredients, dietary needs, and preferred cuisines. It helps users discover new meal ideas, reduce food waste, and enjoy cooking with tailored suggestions.It offers an intuitive, interactive, and unique cooking experience for all skill levels.