Artificial Intelligence & Machine Learning Bootcamp
Finalist - Level SuperMind Hackathon 2025
Finalist - Google GenAI Exchange Hackathon 2024
Matrix - First Runners Up in College
Represented College in a Debate Competition
An AI Developer and Data Scientist with expertise in machine learning, deep learning, and AI-driven solutions. Building predictive models and intelligent systems for real-world applications, including time series forecasting, NLP, and computer vision. Passionate about leveraging innovative technologies to solve complex problems and deliver actionable insights.
✏️ Social Media Analysis, Engagement Tracking, NLP, Question-Answering, LLM
This project leverages LangFlow, Astra DB, and Groq LLM to analyze social media engagement data across platforms like LinkedIn, Twitter, Facebook, and Instagram. It provides interactive and insightful platform to help users understand trends, engagement patterns, and performance of their social media posts in an easy-to-use, dynamic web interface.
✏️ Medical Image Analysis, Convolutional Neural Networks, Computer Vision, Natural Language Processing, GenAI
This AI-powered cancer detection system leverages a CNN to analyze medical images like MRIs, enabling early detection and accurate classification. Based on the cancer type and patient location, it provides personalized doctor recommendations and offers direct appointment booking. Real-time updates on cancer research are available via a News API. Enhanced reporting with the Gemini model offers detailed diagnostic insights, supporting both patient education and wellness.
✏️ Time Series Forecasting, Trend Analysis, Predictive Analytics, Interactive Data Dashboards, Pattern Recognition
This forecasting app uses Prophet and N-Beats models to generate predictions from uploaded CSV files containing historical sales data. Users can visualize these forecasts, while Gemini Bot enhances analysis by detecting patterns and anomalies in the forecast images and CSV data, providing accurate, actionable insights.
AI Powered PDF to Data Converter
✏️ Text Extraction (OCR), Conversational AI Frameworks, Language Model Summarization, Data Structuring
This project aims to develop an interactive application that allows users to upload and chat with PDF documents using advanced language models. It provides a seamless interface where users can ask questions about the content of the uploaded documents and receive accurate, context-aware responses. It also involves using tools to detect and isolate images from the PDFs and then applying advanced AI models to understand and articulate the content and context of each image, enabling a deeper analysis