https://cse-capstoneproject.pages.dev/

This repository contains the code and documentation for the Capstone Project, an AI/ML focused initiative developed by the Department of Computer Science and Engineering nd the Department of Cyber Security at MITS Kochi. This project centers around a Linux distribution and includes several supporting tools.

• Linux Distribution for AI/ML Applications:

  • The core of this project is a Linux kernel designed to provide an environment for AI/ML development and deployment.
  • It is based on Debian.

• Clearch:

  • Clearch is a command-line search engine utilizing various AI models, including Gemini, Rust, and GPT.
  • These models are structured as Rust modules.
  • Each AI model implements the LLMRequest trait.

• OS Scraper:

  • This component is designed to reduce time complexity for the RAG Agent to retrieve data.
  • It uses multiple agents built with Go.

• RAG Agent:

  • The RAG agent combines retrieval-based search with generative AI models.
  • This enhances the accuracy and reliability of AI-generated content by grounding responses in authoritative data sources.

• Peaploy:

  • Peaploy is Rust-based.
  • It uses the tree-sitter library to parse code and analyze import, system, and build dependencies.
  • It makes use of the Walkdir and standard libraries in Rust to read all the files from a project folder, to analyze its dependencies.

• Spellchecker Tool:

  • This application demonstrates the use of data structures and algorithms for spell checking.
  • It is built using Go.

• Go
• Rust
• tree-sitter
• Gemini
• GPT
• Walkdir (Rust library)
• Standard libraries (Rust)
• Debian Linux

The project was developed by a team of students from the Department of Computer Science and Engineering and the Department of Cyber Security:

• Haritha H (Faculty)
• Sruthi S (Faculty)
• Anoop S Babu (Faculty)
• Andrew C Anil (S8 CY)
• Vaishakh S Nair (S8 CY)
• Eric Thomas (S8 CSE)
• Athul Prakash (S6 CY)
• Chris Paul (S6 CY)
• Amalekh Biju (S6 CY)
• Sudheesh S Pai (S6 CY)
• Krishna Rajeev (S6 CY)
• Joseph V Cherish (S6 CY)
• Akshhay K Murali (S6 CSE)
• Sankar B (S4 CY)
• M Soorya Narayan (S4 CSE)
• Vishal V Devan (S4 CSE)

• The project timeline and workflow details can be found at MITS CSE Capstone Project · GitHub.

This project aims to:

• Develop an AI/ML focused Linux distribution to provide an optimized environment for AI/ML development and deployment.
• Create supporting tools that enhance AI/ML workflows, such as intelligent search capabilities.
• Showcase the integration of AI/ML technologies within system-level software.

This project aims to:

• Enhance productivity by automating complex tasks.
• Make AI/ML technologies more accessible to developers and users.
• Contribute to advancements in intelligent systems and automation.

• March 2025: Integrate OS with Kernel
• June 2025: Integrate tools with Operating System
• September 2025: Release of the OS

To get started with the project, follow these steps:

1.  Clone the repository: `git clone [repository URL]`  **(Replace `[repository URL]` with the actual repository URL)**

2.  **Clearch:**

    * Navigate to the `clearch` directory.
    * Ensure you have Rust installed.
    * Use `cargo build` to build the project.
    * Run the executable.

3.  **OS Scraper:**

    * Navigate to the `os-scraper` directory.
    * Ensure you have Go installed.
    * Run `go run main.go` to start the scraper.

4.  **RAG Agent:**

5.  **Peaploy:**

    * Navigate to the `peaploy` directory.
    * Ensure you have Rust installed.
    * Use `cargo build` to build the project.
    * Run the executable with `cargo run [project_folder_path]` (Replace `[project_folder_path]` with the path to the project you want to analyze).
    
6.  **Spellchecker Tool:**

    * Navigate to the `spellchecker` directory.
    * Ensure you have Go installed.
    * Run `go run main.go` to start the spellchecker.