Saakshi Gupta | Projects

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FinGraphRAG Portfolio Risk & Market Analysis

A comprehensive GraphRAG system for portfolio risk and market analysis, combining vector search (Qdrant) with knowledge graph reasoning (Neo4j) to provide explainable financial insights.

GraphRAG Neo4j Qdrant FastAPI React Python Docker

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FutureVest Stock Analysis | CSSE6400

A web-based stock analysis platform helping investors value stocks and discover growth opportunities with screening, watchlists, alerts, and technical analysis tools.

React TypeScript Flask Python PostgreSQL AWS Docker

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Co-Founder Matching UQ Ventures | DECO3801

A mobile app connecting entrepreneurs with potential co-founders using a multi-factor matching algorithm evaluating skills, interests, goals, and collaboration style.

React Native TypeScript Flask Python Supabase Docker

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DF-P2E: Deepfake Detection CSIRO Research

Created a multimodal deepfake analysis system integrating CNN/Vision Transformer detection with explainable AI techniques (SHAP, LIME) and LLM-powered forensic insights using Llama 3.1.

PyTorch Vision Transformers CNNs SHAP LIME CLIP Llama 3.1 Hugging Face

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Multi-Agent Customer Support Triage CrewAI

Built a multi-agent system for customer support triage using CrewAI framework with LangSmith for observability. Features ticket classification, policy retrieval, response drafting, and compliance enforcement.

CrewAI LangSmith Multi-Agent Python LLMs

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arXiv Self-Correcting RAG Pipeline LangGraph

Built a multi-agent arXiv self-correcting and adaptive RAG pipeline that intelligently retrieves, processes, and synthesizes research papers with self-correction mechanisms.

RAG Multi-Agent LangGraph Python LLMs

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VideoSpec & Creator-Brand Matching LINQIA

Built multimodal video-analysis platform with Gemini Vision API and developed algorithms analyzing millions of creator profiles with NLP and computer vision for brand-creator matching.

Python Gemini Vision API AWS Nova NLP Computer Vision LLMs Streamlit

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AIM AI AI Interviewer

Developed an AI-powered interviewer chatbot by fine-tuning Mistral-7B using QLoRA, achieving 18% improvement in Rouge-1 scores with integrated speech-to-text processing 4x faster than original Whisper.

Mistral-7B QLoRA Fine-tuning Faster Whisper CTranslate2 Python

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Energy Transition Analysis UQ Research

Developed ML tools for energy-project trend analysis using AEMO data, achieving ~15% reduction in estimation errors for energy transition model calibration.

Python Machine Learning Deep Learning Data Analysis LiDAR

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QuickSettle Westpac Hackathon

Co-developed a group payments app with shareable links and automated reminders, presented at the Gold Coast Engineering Hub as a Hackathon Finalist.

FinTech App Development Hackathon

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Alzheimer's Disease Classification Vision Transformer

An MRI-based Alzheimer's disease classification project exploring the use of Vision Transformers (ViT) for medical image analysis. The system implements patch extraction, linear embeddings, positional encoding, and multi-head self-attention from scratch using TensorFlow/Keras, and is trained and evaluated on the ADNI dataset.

TensorFlow Keras Vision Transformers Python Medical Imaging

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