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Shaurya Tiwari's Projects

finding-waldo icon finding-waldo

The Waldo Finder project harnesses the power of image processing and pattern recognition to solve a common yet nostalgic challenge: finding Waldo. Designed for those moments when you're eager to spot our elusive friend amidst the chaos of his surroundings but find your attention span waning.

portfolio-2 icon portfolio-2

A website inspired built to showcase experience and projects worked on in the last 6 years during my internships and part time roles while pursuing Bachelors in Technology and Masters in Computer Science

rag-pipeline icon rag-pipeline

A project that will allow me to deploy full scale purpose defined LLM chatbot using both API calls from OpenAI as well as calls from any LLM hosted on a local server or cloud.

sentiment-analysis icon sentiment-analysis

Independently implemented 'stealing-ur-feelings', a GitHub open-source project, enhancing my JavaScript, AI, and web dev skills. Gained insights into emotion recognition and social media privacy, demonstrating self-learning and application of advanced tech in real-world scenarios.

shaurya-tiwari-ai icon shaurya-tiwari-ai

A glimpse of my journey from an IT undergrad to a Strategic AI/ Data Science Data Analyst.

shazam-gpt icon shazam-gpt

Shazam GPT aims to develop a language model from scratch using Python. Dive into NLP & deep learning to create a model for understanding & generating human-like text. Implement transformer architecture with encoder, decoder, attention mechanisms. Preprocess large text data through tokenization, normalization.

snapchat-clone icon snapchat-clone

Independently implemented 'stealing-ur-feelings', a GitHub open-source project, enhancing my JavaScript, AI, and web dev skills. Gained insights into emotion recognition and social media privacy, demonstrating self-learning and application of advanced tech in real-world scenarios.

tester icon tester

In healthcare and medical science, the fusion of artificial intelligence and deep learning is revolutionizing diagnostics. My project focuses on the precise segmentation of polyps from colonoscopy images—a vital tool for medical practitioners.

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