This project will present an applied and game-like approach to simulating the load growth, investment decisions by two types of generation technologies, demand-price responsiveness, and reliability, of a test-case power system. The simulation begins as a 9-bus system with existing generation (3 generators) and transmission lines (8 lines). System topology can be viewed in a figure throughout the game with the yearly generation and load at each bus. In addition, dynamic color-coding is used to highlight transmission lines that exceed MVA ratings and highlight bus voltages that violate any limits. The winning objective of the player company (you) is to maximize his profit. Reliability can be tracked by viewing the N-1 generator and line contingencies every year, but this does not influence profits. There are two generation technologies used: coal and gas turbine. Each technology will have a similar competitor in the simulation. The competitor can bring down the market price and reduce the player’s profits significantly. The clock starts at T=0 in the investment game with a historical record of past prices and projected prices based on lack of investment. As time moves forward in yearly increments, the load, prices, investment costs, and other variables are adjusted to that of the player’s performance. The player has the opportunity to study various profitable and unprofitable investment alternatives each year of the simulation. If he invests at the right location, and in the right planning year, his company can make windfall profits. Competitors randomly participate in adding extra generation in random areas of the system based on the competition level settings. The challenge for the user is to study the effects of his investment decisions on market prices, reliability, and his profitability.

AI-Powered Study Plan and Book Summarization is a powerful repository that combines two cutting-edge AI solutions: a personalized study plan generator and a hierarchical book summarization system.

A python study plan generator based on Ebbinghaus.

📚 AI-powered study plans and tips generator...

Study Plan generator by Genetic Algorithm.

AI-powered content creation suite with 5 specialized agents: Podcast Creator (blog-to-audio), Video Script Generator (with timing), Brand Voice Analyzer (personality insights), Study Plan Creator (personalized learning) & Social Media Agent (platform posts). Built with Streamlit, OpenAI GPT-4, ElevenLabs voice synthesis & Firecrawl web scraping.

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The Study Plan Generator is a web-based application designed to help learners generate personalized study roadmaps for various domains like Web Development, Data Science, AI, and more.

AccuPlanner is an AI-powered learning path generator that helps users create personalized study plans with curated resources. Built with React, TypeScript, Supabase, and Google Gemini AI.

Adaptive study plan generator

**Edubot** is an intelligent, personalized study planner built using **Python** and **Streamlit**. It allows students to create a day-wise, subject-prioritized plan based on their syllabus, available time, and daily study hours.

it generates the study plan

CLI Study Plan Generator –enters your engineering courses study hours & semester dates then auto-shuffles a balanced day-by-day schedule and saves it to study-plan-generator.txt

Testing Project: Generating a study plan based on any topic given, for people who can't live without plans.

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Free IELTS Study Plan Generator - Personalized 4-week study plans in English & Arabic

Develop an app that creates customized study plans based on students’ learning styles and performance, Use algorithms for personalized recommendations and AI for optimizing learning paths

AI-powered Bible study plan generator for workplace Christian small groups

AI-powered Personalized Study Path Generator for lecture transcription, Q&A, study plans, and adaptive quizzes

Intelligent SAT study schedule generator — OCR data extraction, LLM-driven planning, and a clean web frontend.

Study Plan Generator for Students Description: Student inputs goals → AI creates a study timetable → sends daily tasks on WhatsApp. Tools: Forms, OpenAI, Google Calendar, WhatsApp API

A personal static site generator for AI brainstorming sessions and study plans, powered by Astro 5, React, Three.js, and GitHub Copilot MCP.

A smart Study Timetable Generator that creates personalized schedules based on subjects, available hours, priorities, and deadlines. It helps students manage time efficiently, balance workload, reduce stress, and improve productivity with an optimized, easy-to-follow study plan.

Built an AI-driven personalized learning path generator using the Model Context Protocol (MCP), enabling smart retrieval of videos, documents, and notes to recommend structured study plans based on user goals.

AI-powered learning diagnostics and personalized study plan generator for African students. Built with Flask, Supabase, and Gemini AI, Magic Patterns and CursorAI to identify knowledge gaps and recommend targeted resources.

This Streamlit app uses sentence transformers to generate embeddings from transaction texts, followed by logistic regression for accurate expense categorization into multiple classes. It also features a study plan generator that leverages prioritized weak subjects and exam schedules for balanced daily study hours. Easy setup and interactive UI.

The Learning Path Generator uses soft computing to create personalized study plans tailored to each learner’s strengths and weaknesses. Combining Genetic Algorithms for optimization and Reinforcement Learning for adaptation, it adjusts paths in real time, ensuring efficient, learner-focused progress.

Study plan generator

Expert Study Plan Generator