Sairaj Shedge

Developed Help Mate AI, an intelligent virtual assistant to handle user queries and provide automated support. Implemented NLP-based intent understanding for accurate response generation.

Developed an intelligent chatbot using Google Gemini API capable of understanding and responding to user queries in real time. Implemented natural language processing to handle multi-turn conversations with contextual awareness.

Designed an AI-based health and fitness plan generator using LangChain to create personalized workout and diet plans. Used user inputs such as age, goals, and fitness level to generate customized recommendations.

Built an AI-powered research assistant to automate information retrieval, summarization, and insight extraction. Enabled users to ask complex queries and receive concise, structured research outputs.

Implemented real-time object detection using the YOLOv5 architecture for identifying multiple objects in images and video streams. Trained and fine-tuned the model on custom datasets to improve detection accuracy.

Built an AI-powered sentiment analysis tool to classify text as positive, negative, or neutral. Applied NLP preprocessing techniques and machine learning models for accurate sentiment classification.

Built Doc Mind, a smart document assistant capable of answering questions from PDFs and text documents. Implemented a Retrieval-Augmented Generation (RAG) pipeline using vector embeddings and similarity search.

Grade: 8.56 CGPA (3rd Year)

Pursuing a Bachelor of Engineering in AI & Data Science with a strong academic record, achieving a CGPA of 8.56 in the third year.