SheSpeaks is one of the flagship initiatives I have worked on under the ABES ACM-W Student Chapter. The initiative was designed to create a space where women could openly share their journeys, challenges, ideas, and experiences around technology, education, leadership, and personal growth. I contributed to the planning, coordination, outreach, and execution of the initiative while working closely with the team to ensure meaningful participation and engagement. What made SheSpeaks special to me was that it was not just a technical event, but a platform focused on confidence, visibility, communication, and community-building for women in tech. Working on it helped me understand the importance of creating supportive ecosystems alongside technical growth.
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XAI Forensics: Explainable Sentiment Analysis Tool
Built a full-stack Explainable AI platform to explore how transformer models interpret and classify sentiment. The system compares predictions from DistilBERT and RoBERTa using multiple explainability techniques including LIME token attribution, counterfactual perturbation, and dual-model disagreement analysis.
Implemented a FastAPI backend with latency tracking and deployed the Dockerized inference pipeline on HuggingFace Spaces, with a forensic-style interactive dashboard built using Next.js and deployed on Vercel.
Key highlights:
• Compared 2 transformer models trained on different domains
• Implemented 300-sample LIME explanations with top-token attribution
• Built 4 REST APIs for analysis workflows
• Added counterfactual sentiment-flip analysis and disagreement scoring
• Deployed end-to-end at zero hosting cost using Vercel + HuggingFace
Tech Stack: Python, FastAPI, HuggingFace Transformers, LIME, Docker, Next.js
GitHub: https://github.com/parshvi1508/XAI_Forensic
(https://github.com/parshvi1508/XAI_Forensic)Demo: https://xai-forensic.vercel.app/
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