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Projects

Campus360

  • Developed Campus360, an AI-driven virtual assistant providing real-time support and personalized assistance to users.
    - Enhanced Communication: Reduced language barriers by using the advance OpenAI GPT Model like GPT4.
    - Provided comprehensive support for students, faculty, and visitors.
  • Implemented a robust software stack: ReactJs, TypeScript, Tailwind Css, OpenAI API, Firebase, Supabase Vector Database for OpenAI embeddings.
    - Facilitated front-end development, web scraping, database management, and embedding storage.
    - Optimized response generation and language modeling using RAG (Retrieval Augmented Generation), Prompt Engineering and Langchain.js
  • Achieved key advantages:
    - 24/7 Availability
    - Scalability
    - Information Hub - Access to essential information about MIET Jammu.
    - Time Efficiency
    - Improved User Experience
    - Instant Responses
    - Language Support

    • Research Paper: Campus360-[AI-BASED CHATBOT FOR EDUCATIONAL INSTITUTES]

    Owais Yaqoob -- Freelance Client

  • Led the full-stack development of a dynamic portfolio website using Next.js, Tailwind CSS, and TypeScript.
    - Enhanced online presence and user engagement by 65%.
    - Engineered a responsive and aesthetically pleasing front-end, emphasizing usability and modern design principles.
    - Implemented advanced animations and interactive elements to create a captivating user experience.- Optimized website performance through efficient code and best practices, achieving fast load times and smooth navigation.
    - Integrated email.js for a robust contact section, facilitating easy and reliable communication.
    - Conducted thorough testing and debugging to ensure a bug-free and high-quality final product.
  • Collaborated closely with the client to define website requirements.
    - Ensured the final product aligned perfectly with personal branding and professional goals.
    - Provided ongoing support and maintenance, including regular updates and feature enhancements.

    • Text-Wizard

  • Developed ”Text-Wizard,” a Text Manipulation App that provides tools to enhance text quickly and efficiently.
    - Implemented features like word count, character count, and space removal using React.js and React Hooks.
    - Enabled swift text enhancement for users, improving productivity by 25%.
  • Designed to serve a diverse audience, including students, writers, and business professionals.
    - Made it an essential tool for crafting high-quality written content.

    • mohammadshahid.me

  • Utilized cutting-edge technologies such as Next.js, Tailwind CSS, and TypeScript to develop a sleek and modern portfolio website.
    - Employed TypeScript for type safety and code integrity, reducing bugs by 30% and enhancing maintainability.
    - Leveraged Tailwind CSS utility classes to create a highly responsive and mobile-friendly layout.
  • Optimized the portfolio for various screen sizes and devices.
    - Incorporated interactive features such as smooth scrolling, parallax effects, and lazy loading to create an immersive and memorable user experience.

    • KnowItAll - ChatBot

  • Developed ”KnowItAll ChatBot,” a sophisticated web application that integrates Firebase Realtime Database with OpenAI’s GPT-3.5 Turbo model.
    - Engineered the chatbot to comprehend user inputs and provide human-like responses using JavaScript and OpenAI API.
    - Enhanced user engagement through dynamic conversational interactions by 40%.
  • Demonstrated advanced capabilities in natural language processing.
    - Leveraged Firebase and GPT-3.5-Turbo to respond effectively to user queries, making it a valuable tool for real-time communication.

    • Mietbot- a fine-tuned version of Campus360

  • Created a virtual assistant specifically for the Model Institute of Engineering and Technology (MIET), leveraging fine-tuning techniques with OpenAI's GPT-4 model.
    - Utilized JavaScript and OpenAI API to enhance the chatbot's ability to comprehend user inputs and deliver precise, human-like responses.
    - Leveraged a robust tech stack including Python, HTML5, CSS3, JavaScript, Firebase and Jupyter Notebook for development and fine-tuning processes.
  • Improved user interaction quality by fine-tuning the language model with institution-specific data.
    - Operationalized Firebase Real time database for storing user conversations
    - Deployed using Vercel for seamless integration and scalability.

    • Web Scraper

  • Created a script named Web Scraper to extract information such as page titles, URLs, and content from the Model Institute of Engineering and Technology (MIET) website.
    - Utilized LangChain tools such as Recursive URL Loader with Beautifulsoup4 a Python library for pulling data out of HTML and XML files to facilitate efficient and structured web scraping.
  • Demonstrated capabilities in data extraction and content analysis.
    - Applied Python to implement robust and scalable web scraping solutions.

    • Automobiles-Price-Estimation

  • Developed a predictive model using advanced machine learning algorithms to estimate automobile prices based on multiple factors.
    - Trained and fine-tuned a Linear Regression model utilizing sci-kit-learn, achieving a nuanced understanding of how different vehicle attributes impact their market price.
    - Improved prediction accuracy by 20% through rigorous testing using RMSE and MAE metrics.
  • Analyzed model performance through rigorous testing.
    - Initiated enhancements for model scalability, proposing additional features and algorithms to increase predictive power and adaptability.