Project completed under IBM using IBM WatsonX by Students:
1. Personality Detection Through Graphology Using Deep Learning Techniques: A Multimodal Approach
2. A Novel Framework for Emotion Detection with Graph Neural Networks: A Deep Learning Perspective
3.Performance Comparison of Deep Learning Models in Image Super-Resolution
4.Advancing Visual Question Answering Through Multimodal Fusion and Deep Learning Techniques
5. Automated Personality Prediction through Hindi Handwriting Analysis: A Machine Learning Approach to Graphology
6.Bankruptcy Prediction Using Machine Learning Models: A Comparative Study
7.Unveiling Virtual World Irregularities: Machine Learning Approaches for Metaverse Anomaly Detection
8. Predictive analysis of Electric Vehicle (EV) Range using Leveraging Machine Learning Techniques
9. Prediction of Gold Price by Leveraging Machine Learning Techniques
10.Machine Learning-Based Price Prediction Models for Ethereum and Bitcoin: A Comparative Evaluation
11.Enhancing Player Performance in Football: A Machine Learning Approach Rating Prediction of the Players
12.Predictive Analytics for Cricket Players: Leveraging Machine Learning Techniques
13.Advanced Player Performance in NFL: Predictive Modelling for Rating Prediction Using Machine Learning
14.Performance Analysis in Basketball: Utilizing Machine Learning Techniques for Rating Prediction
15. Bean to Bytes: Exploring Machine Learning Techniques for Dry Bean Classification
16.NHL Players Rating Forecasting Using Integrated Machine Learning Model
17. Prediction of S&P 500 Stock Prices by Leveraging Machine Learning Techniques
18.A Comparative Study of Time Series Models for Nifty 50 Stock Price Prediction
19.Predictive Analysis of Coursera Ratings Using Machine Learning Techniques
20. Predicting Laptop Prices: A Comparative Analysis of Machine Learning Algorithms
21.A Predictive Modelling for analysis of Apple Quality using Machine Learning Techniques
Project Under Progress with IBM
Automated Answer Script Evaluation using IBM Data Prep Kit
This ongoing collaborative project with IBM focuses on building an intelligent system for the automated correction and evaluation of student answer scripts. Leveraging the capabilities of IBM’s Data Prep Kit, the project aims to streamline the process of preparing training datasets for Natural Language Processing (NLP) models that can assess written content with high accuracy.
Key Objectives:
- Develop a robust data pipeline using IBM’s Data Prep Kit to clean, label, and format answer scripts.
- Train and fine-tune AI models to recognize context, grammar, structure, and relevance in student responses.
- Enhance assessment speed and consistency, reducing manual workload for educators.
- Ensure fair and scalable evaluation aligned with institutional academic standards.
This project is a step toward AI-assisted academic evaluation, combining data science, NLP, and education technology to redefine how learning outcomes are measured.