Aditya Jethani

✨ Task 6 Completed at Mainflow!✨ I'm excited to share that I've successfully completed Task 6 of my internship at Mainflow! 🚀 For this task, I developed an interactive image gallery application. Using React, I created a sleek and responsive grid layout that showcases images beautifully. Each image can be viewed in a modal or lightbox, providing a seamless and engaging user experience. This project allowed me to hone my skills in React and improve my understanding of component-based architecture. It was a great learning experience, and I'm thrilled with the results! Git hub repository link : https://lnkd.in/gV3azbK5 #internship #Mainflow #React #webdevelopment #frontend #learning #coding #projects #MainFlowTechnologiesandServices

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🎉Day 22 of 100 Days of DSA Challenge 🎉 #100DaysofDSA Hello everyone! Day 22 is here, and after exploring doubly linked lists yesterday, I’m eager to delve deeper into more advanced applications and nuanced scenarios where doubly linked lists shine. 📚 Advancing with Doubly Linked Lists: 1. Recap of Day 21: 🔸 We covered the basics of doubly linked lists, including their structure and basic operations like insertion, deletion, and traversal. 🔸 Discussed practical applications like browser history management, undo-redo functionality, and music playlists. 2. Advanced Operations and Use Cases: - Reversing a Doubly Linked List: 🔸 A straightforward process thanks to the bidirectional nature of the list. - Sorting: 🔸 Implementing efficient sorting algorithms such as quicksort or mergesort directly on the list. - Splitting and Merging: 🔸 Handling large data sets by splitting lists and merging them as needed. 3. Real-World Scenarios: - Memory Management: 🔸 Used in operating systems for managing free memory blocks. - Cache Implementation: 🔸 Often utilized in LRU (Least Recently Used) cache algorithms for efficient data retrieval and storage. - Complex Data Structures: 🔸 Forms the backbone of more complex data structures like Fibonacci heaps and graph adjacency representations. 🔹 Hands-on Coding: Today, I'll be tackling more complex problems: - Reversing a doubly linked list. - Implementing sorting algorithms. - Demonstrating a real-world application like an LRU cache. 🔹 Insights and Learnings: - I’ll share code snippets and explanations of these advanced operations. - Discuss the performance implications and optimizations for these tasks. 🔹 Looking Ahead: Tomorrow, I’ll transition into exploring another critical data structure – Binary Trees. Understanding trees will lay the foundation for solving hierarchical data problems efficiently. 💬 Join the Conversation: Working on advanced data structures? Let’s connect! Sharing insights and challenges will help us all progress faster. Happy coding! 💻 #100DaysOfCode #DoublyLinkedLists #AdvancedDataStructures #Algorithms #CodingJourney #TechInnovation #ProblemSolving #100DaysofDSA #RealWorldApplications Looking forward to Day 23 and the exciting journey ahead!

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Hello everyone! I have completed creating a text-based chatbot that can converse with users using Python as a part of TASK-3 of Python programming internship at CodeAlpha. For this task, I used a natural language processing library named "spaCy". Description: The code sets up a basic chatbot using spaCy to process user input. It loads the 'en_core_web_sm' spaCy model, defines a set of responses for different intents such as greetings, farewells, and name inquiries, and maps specific keywords to these intents. The get_intent function identifies the intent based on keywords found in the processed text, while the respond function returns the corresponding response. The main loop continuously prompts the user for input, processes it to determine the intent, and prints the appropriate response, exiting the loop if the user types "exit," "quit," or "bye." #codealpha  #internship

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🌟 Exciting Day of Learning! 🌟 Today, we delved into the fascinating world of Object-Oriented Programming (OOP) in our GIAIC Class. Understanding the concepts of classes, objects, encapsulation, inheritance, polymorphism, and abstraction has opened up new avenues for us to develop more organized, scalable, and maintainable software. Classes: Real-Life Example: Class as a Blueprint Imagine you are designing a car manufacturing system. You would start with a Car class. This class would specify that all cars have certain features such as a make (brand), model, year of manufacture, and color. It would also define behaviors like starting and stopping the engine. However, the class itself is just a concept or blueprint; it does not represent a specific car. Objects: Real-Life Example: Object as an Instance using the Car class blueprint, you can create several specific cars. For example: Car 1: A blue 2020 Toyota Corolla. Car 2: A red 2021 Honda Civic. These are individual objects or instances of the Car class. Each car has the attributes (make, model, year, color) defined by the class but with specific values. Key Concepts in OOPs: Encapsulation: This means bundling the data (attributes) and methods (behaviors) that operate on the data into a single unit or class. It also involves restricting direct access to some of the object's components, which is a way of protecting the object's integrity. In the car example, the details of how the engine starts and stops are encapsulated within the Car class. Abstraction: Abstraction involves hiding the complex details and showing only the necessary features. For instance, when you start a car, you don't need to understand the internal mechanics of the engine; you just need to know that turning the key starts the car. Inheritance: Inheritance is a way to form new classes using classes that have already been defined. The new class, known as the child class, inherits attributes and behaviors from the existing parent class. For example, you might have an ElectricCar class that inherits from the Car class but adds additional features like battery charging. Polymorphism: Polymorphism allows objects to be treated as instances of their parent class rather than their actual class. It means "many shapes" and allows methods to do different things based on the object it is acting upon. For example, you can have a generic function to start a vehicle, and whether it's a regular car or an electric car, the correct start behavior will be executed. A huge thank you to Sir Ameen Alam and Sir Asharib Ali for their insightful teaching and guidance. Your expertise and passion for the subject have truly inspired us! Governor Sindh Initiative for GenAI, Web3, and Metaverse #Learning #Programming #OOPS #typescript

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🧩 Thrilling news, everyone! I'm here to share that I've accomplished a Sudoku solver as my #task04 #ProdigyInternship 😃 💻 For those who don't know, Sudoku is a logic-based puzzle where you need to fill a 9x9 grid with digits so that each column, each row, and each of the nine 3x3 sub-grids that compose the grid contains all of the digits from 1 to 9. 🔍 The Sudoku solver can handle puzzles of varying difficulty levels, from easy to expert. It's also customizable, allowing you to input your own Sudoku puzzles to solve. 👉 In the meantime, happy puzzling! 🧩 #sudoku #programming #algorithms #backtracking" . . . Source code: https://lnkd.in/gdArAscu . . .

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🚀 Day 27/75: Find Duplicates in an Array 🚀 Topic Tag: #Arrays #Hashing #FrequencyCount #DSA #GeeksforGeeks Today, I tackled the problem of finding duplicates in an array. Given an array of integers, I counted the frequency of each element using an unordered map. Then, I collected elements with a frequency greater than 1 and returned them in sorted order. This approach efficiently finds duplicates in linear time complexity, making use of hashing to count frequencies. Stay tuned for more array and hashing challenges! 🌟💻 #DSA #DataStructures #Algorithms

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🚀 Exciting Internship Update! 🚀 I am thrilled to announce that I have successfully completed Task 3 of my Machine Learning Internship at Codesoft! During this amazing journey, I had the opportunity to work on a highly impactful task: Customer Churn Prediction. Checkout my Github Repo : https://lnkd.in/gUqFGReH 🔍 Project Overview: In this project, I developed a machine learning model to predict customer churn using historical data from a CSV file. The process involved several crucial steps: Data Collection & Preprocessing: Importing, cleaning, and preparing the dataset for analysis. Exploratory Data Analysis (EDA): Understanding data patterns and identifying key indicators of churn. Feature Engineering: Creating and selecting the most relevant features to improve model accuracy. Model Selection & Training: Experimenting with various algorithms to determine the best performing model for churn prediction. Evaluation & Optimization: Fine-tuning the model to enhance precision and recall, ensuring reliable predictions. I am incredibly grateful to the entire team at Codesoft for their guidance and support throughout this internship. This experience has not only sharpened my technical skills but also deepened my understanding of applying machine learning to solve real-world business problems. If you’re passionate about machine learning, data science, or customer analytics, I’d love to connect and discuss these exciting areas further! 📹 Code Explanation Video: I’ve created a detailed video where I explain the code and walk through each step of the project. This video aims to provide valuable insights for both beginners and experienced practitioners on building an effective customer churn prediction model. CodSoft Pragati Engineering College #MachineLearning #DataScience #CustomerChurn #ArtificialIntelligence #Internship #Codesoft #TechInnovation

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Day 75 of #150daysofcodechallenge 🚀 Just Solved LeetCode Problem #125: Valid Palindrome! I'm thrilled to share that I tackled and solved one of the classic problems on LeetCode today - "Valid Palindrome". This problem is a great way to understand and apply string manipulation techniques in a practical scenario. Here’s a quick overview and my approach to solving it: 🔍 Problem Statement: Given a string, determine if it is a palindrome, considering only alphanumeric characters and ignoring cases. 💡 Solution Approach: Normalize the String: Convert all characters to lowercase and remove non-alphanumeric characters. Check Palindrome: Use two pointers to compare characters from the beginning and the end of the string, moving towards the center.

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🚀 🚀 DAY 19 of #28daysofcode :- Hey linkedIn people!!!👋 🌟 Today, I have tackled a problem of leetcode which says:- problem statement:- You are given an integer array height of length n. There are n vertical lines drawn such that the two endpoints of the ith line are (i, 0) and (i, height[i]). Find two lines that together with the x-axis form a container, such that the container contains the most water. Return the maximum amount of water a container can store.  you may not slant the container. problem link:- https://lnkd.in/g3_89QnY I would love to connect with you people at any hour here on the LinkedIn or on the twitter maybe-(https://lnkd.in/gsTgZzd7) You can even drop your suggestions in the following comment box.. #28daysofcode #codingchallenge #DSA #algorithms #problemsolving #dailylearning #Arrays #codingskill #techlearning #coding #programmingjourney #techskills #codelife #leetcode #codeforces #learningtogether #dailychallenge #strings #characterarrays #complexities #2DArrays #dataStructures #binarysearch #sorting

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I recently completed a project during my #Task5 internship at #ProdigyInfoTech that focused on analyzing and visualizing traffic accident data. The project aimed to uncover patterns related to road conditions, weather, and the time of day when accidents occur. I also created visualizations to highlight accident hotspots and factors contributing to accidents. Throughout the project, I utilized #Python and essential libraries like #Pandas, #Seaborn, and #Matplotlib to build an exploratory data analysis (EDA) pipeline. The #analysis included converting and properly indexing timestamp data for accurate time series analysis. I explored accident frequency by different factors such as time of day, weather conditions, and road conditions. Additionally, I visualized accident hotspots using heatmaps and scatter plots. Key #insights from the analysis included identifying higher accident rates during specific weather conditions and times of the day. The visualization of accident hotspots revealed specific areas with a higher occurrence of accidents. GitHub Repository: https://lnkd.in/dSFxaEra

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Hello Connections, I'm excited to share another significant achievement from my internship at CodSoft 🎉 For my third task, I had the opportunity to develop a recommendation system. This project allowed me to explore advanced machine learning techniques and data processing methods to create a system that provides personalized recommendations to users. 🔹 Project Overview: I developed a recommendation system capable of suggesting relevant items to users based on their preferences and behavior. The system leverages collaborative filtering and content-based filtering techniques to deliver accurate and personalized recommendations. 🔹 Technologies Used: Python: The primary programming language for developing the recommendation system. Pandas and NumPy: For data manipulation and analysis. Jupyter Notebook: For interactive development and visualization of data. 🔹 Key Features: Collaborative Filtering: Utilized user-based and item-based collaborative filtering techniques. Content-Based Filtering: Recommended items based on item attributes and user preferences. Hybrid Approach: Combined collaborative and content-based filtering to enhance recommendation accuracy. Evaluation Metrics: Implemented metrics such as RMSE (Root Mean Squared Error) and precision to evaluate the system's performance. 🔹 Implementation Steps: Data Collection and Preprocessing: Gathered and cleaned datasets containing user interactions and item details. Used Pandas for data manipulation and analysis. Building the Recommendation Model: Implemented collaborative filtering techniques using the Surprise library. Developed content-based filtering models with scikit-learn. Combined both approaches to create a hybrid recommendation system. User Interface Development: Designed a simple interface to allow users to input preferences and receive recommendations. This project significantly enhanced my understanding of machine learning, data analysis, and recommendation algorithms. Github link-https://lnkd.in/dGFH8xMV #ArtificialIntelligence #RecommendationSystem #MachineLearning #Internship #DataScience #Python #Pandas #ScikitLearn #SurpriseLibrary #CodSoft

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Day 68/75: Maximum Sum of Non-Adjacent Elements Today, I tackled the problem of finding the maximum sum of non-adjacent elements in an array using dynamic programming. The challenge is to select elements such that no two selected elements are adjacent, maximizing the total sum. To solve this problem, I defined a recursive function with memoization. The base cases handle situations where the index is out of bounds or at the start of the array. The recursive relation considers two possibilities for each element: either include it and add its value to the result of solving the subproblem for the array up to two indices before, or exclude it and solve for the subproblem up to the previous index. By storing the results in a DP array, redundant calculations are avoided. Finally, the function is called for the last element, providing the optimal solution by leveraging the precomputed results. #CodingChallenge #Day68 #DynamicProgramming #Memoization #AlgorithmOptimization #75DaysOfCode

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🚀 Exciting Announcement! I'm thrilled to announce that I'll be hosting an online session on Introduction to GitHub using GitHub.dev as an Alpha MLSA! 🎉 📅 Date: 29/06/2024 ⏰ Time: 4:00 PM 📍 Location: Microsoft Teams Join me to explore GitHub's powerful features, boost your productivity, and get your questions answered! Whether you're a beginner or a pro, there's something for everyone that too in less than an hour. You will get to know about: 🔵 GitHub and GitHub.dev 🔵 Version control systems and how to upload projects on GitHub 🔵 Making pull requests, raising issues, and contributing to open-source projects using GitHub 🔵Other interactive features of GitHub desktop and more. Register now to attend the session: https://bit.ly/4eG6jTY #MLSA #GitHub #GitHubDev #TechCommunity #Coding

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🚀 Exciting News Alert! 🚀 🔥 Diving into Day 1 of my 100-Day Code Challenge with a BANG! Introducing the "GUI Programming" repository on GitHub, where Python magic happens! 💻✨ 🎉 Today, I'm thrilled to unveil not one, not two, but THREE awesome projects: 1️⃣ Age Calculator: Ever wondered exactly how many days you've been on this planet? This nifty tool will tell you in a snap! 2️⃣ Alarm Clock App: Say goodbye to groggy mornings with this customizable alarm clock that wakes you up right on time, every time! 3️⃣ Button in Game: Taking gaming to the next level with a simple yet addictive button-clicking game. How fast can you click? Test your skills now! But wait, there's more! 🌟 This is just the beginning. Stay tuned as I continue to unleash more innovative projects throughout my 100-Day Code Challenge journey. The excitement is just getting started! 🚀💼 Join me on this adventure by checking out the repository here: https://lnkd.in/gxr5Ei-i Let's code, conquer, and celebrate every milestone together! 💪🎉 #100DaysOfCode #Python #GUIProgramming #Innovation #CodeChallenge #GitHub #TechTuesday #100DaysChallenge #JainUniversity Dr Prabhu A Sagar Gulati JainUniversity

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Hello everyone! Just wrapped up Task-2 of my Virtual internship with CodSoft. Simple Calculator : Built a calculator that performs basic arithmetic operations like addition, subtraction, multiplication, and division. here's the GitHub link to it: https://lnkd.in/gxjR5jgx #CodSoft #Virtualinternship #CodingProjects #SimpleCalculator

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🎉 Exciting Milestone Achieved! 🎉 Thrilled to share that I've completed my 200th question on LeetCode! This journey was challenging yet rewarding, deepening my understanding of algorithms, data structures, and problem-solving techniques. Along the way, I've honed critical thinking, efficient debugging, and optimized solutions for better performance. Excited for what's to come - this is just the beginning! Onward and upward! 🚀 #LeetCode #CodingJourney #Milestone #ContinuousLearning #ProblemSolving #Algorithms #DataStructures #CareerGrowth

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I'm thrilled to share that I've wrapped up Task 4 of my internship at Oasis Infobyte, which focused on creating an infographic! Infographics are fantastic tools for presenting information clearly, and visually engagingly. This project allowed me to: Craft a Compelling Narrative: I explored the concept of "Sparking Your Creativity" by breaking it down into key subtopics: keeping an open mind, practicing mindfulness, taking notes, embracing breaks, trying new things, and collaborating. Visualize Ideas: I used visuals and icons to represent each subtopic, making the information easily digestible and visually appealing. Sharpen Design Skills: This project gave me valuable hands-on experience with design tools like Canva or Venngage, allowing me to experiment with different layouts and typography. A huge thank you to Oasis Infobyte for providing this opportunity to exercise my creativity and explore the power of visual communication! #Internship #Infographics #OasisInfoByte #DesignThinking

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🚀 Exciting Project Alert! I'm thrilled to share my latest web development project from my InternPe internship - Be Consistent List! 📝✨ 🔗 Live Demo: https://lnkd.in/d52qp-p6 📂 GitHub Repository:https://lnkd.in/dveYAxpt Be Consistent List is a sleek, intuitive, and responsive To-Do List application designed to help you stay organized and productive. Whether you're managing daily chores, work projects, or personal goals, this app ensures you never miss a beat. Key Features: 🌟 Stunning Design: A beautifully crafted user interface that enhances your task management experience. 📱 Responsive Layout: Seamlessly adapts to desktops, tablets, and smartphones. 🧠 Memory Management: Effortlessly store and recall previous tasks. ⚡ Local Storage: Keeps your tasks safe even after refreshing the page. This project is a part of my Task 3 assignment for the InternPe web development internship, where I learned to create dynamic and user-friendly web applications. Check it out, and let me know what you think! 😊 #WebDevelopment #ToDoList #InternPe #HTML #CSS #JavaScript #ResponsiveDesign #GitHub #Netlify #Productivity #internPe

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🗡️Task 5: The final project of my ProdigyInfoTech internship involved developing a simple yet powerful packet sniffer tool using the Scapy library in Python. 🧾Project Overview: This tool captures and analyzes network packets, providing detailed information such as source and destination IP addresses, protocols, and payload data. 💻Technical Learning: This project significantly enhanced my understanding of network protocols and packet structures. I learned how to process real-time data and use Scapy for advanced network programming, which was a new and valuable skill. Ethical Considerations: Additionally, the project emphasized the importance of ethical and legal considerations in cybersecurity. I gained insight into the responsible use of network monitoring tools and the need to respect privacy and adhere to legal guidelines. 🚀Practical Experience: Finally, this experience improved my skills in developing command-line interfaces and handling user inputs. It was a valuable hands-on project that provided practical experience in network monitoring and cybersecurity. Task 5: https://lnkd.in/gpnXv2E3 #ProdigyInfoTech #cybersecurity #internship #intern #packetsniffer #github

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