Hey everyone! Just a quick shoutout to my amazing self – for the first time ever, I've climbed into the top 5 on the Kaggle leaderboard for the Recod.ai/LUC - Scientific Image Forgery Detection competition. 🏆
This beast of a challenge is all about building AI models to detect...
Participated in the ongoing Kaggle competition on Copy-Move Forgery Detection in Scientific Images, aimed at identifying manipulated biomedical figures that can compromise research integrity.
In this project, I developed a Sentiment Analysis Web App using deep learning (CNN) and traditional models to classify text sentiment with high accuracy.
The system includes a complete evaluation pipeline comparing CNN, LSTM, Logistic Regression, Random Forest, and Naive Bayes —...
I recently fine-tuned the Mistral 7B Instruct model on a dataset of NDA (Non-Disclosure Agreement) documents — building an AI reviewer capable of identifying compliance issues and clause inconsistencies.
To make the model more accessible, I converted the trained weights to...