Current project's

Project - Platform for Tabular Data downstream task processing

1. Offer APIs to exercise various types of downstream tasks (like Table-Summary and Table-QA) on Tabular data. 2. Add support (into the platform) for trying with different types of LLMs available on HuggingFace (like IBM Granite models).

  • In progress

Project - Image Upscale

A application to upscale an Image

  • In progress

Project - Entity Relationship Diagram Generation using Gen AI models in watsonx

Data engineers can use a tool that would generate the ER diagram of their analytics system to better manage optimize for faster ROI

  • In progress

Project - Code Design Document Generation through Gen AI

Using Code Assistant such as WCA and other open source tools create a pipeline that would generate design documentation from code

  • In progress

Project - Structured Question Generation for Query Resolution

The project aims to develop a system that generates a series of structured questions to answer a user query comprehensively. The questions will be generated in a specific sequence to ensure the final answer is detailed, coherent, and follows a proper

  • In progress

Project - Pattern match with GenAI

Client name or a organization name can be changed as per the Geo or Country, however the parent organization will be the actual Global Client Name. We are require all the subsidiary company from the upstream pointing to Parent organization using AI.

  • In progress

Project - Improving Automated Question-Answering in Source Code Comprehension

We intend to develop a framework which is capable of answering questions given a snippet of code.

  • In progress

Project - Fraud Message Detector

Identifying the malicious text & frauds from a incoming text or whats app messages from various sources.

  • In progress

Project - LLM Agent For Planning Data Pipelines

Design a planning agent that can synthesize a pipeline from a natural language specification primarily targeting data engineer persona.

  • In progress

How it Work

Mentor and Student do the registration

Menter create the project and student applies on it.

Student Upload the Terms & Conditions and Mentor approves it

Mentor Reviews the Required document uploaded by student

Student submits the project