π Iβm currently working on:
Full-stack web applications and AI-powered projects like Medico β AI Medical Assistant and APTP (Agricultural Products Trading Platform) using React, Node.js, MongoDB, Python, Streamlit, and LLMs.
π€ Iβm looking to collaborate on:
Open-source projects related to MERN stack, AI/ML integrations, REST APIs, and real-world problem-solving platforms.
π Iβm looking for help with:
Advanced system design, cloud deployment optimizations, and scaling AI applications.
π± Iβm currently learning:
Advanced MERN stack, FastAPI, LangChain, vector databases, and cloud technologies.
π¬ Ask me about:
JavaScript, React, Node.js, MongoDB, Python, Express.js, RESTful APIs, EJS, and building end-to-end full-stack applications.
β¨ Fun fact:
I write poetry and enjoy paper crafting when Iβm not coding β creativity fuels my problem-solving skills π¨π
π Breast Cancer Prediction Using Machine Learning
A healthcare-focused ML project aimed at early diagnosis using data preprocessing, feature engineering, and model evaluation.
π Read here:
https://medium.com/@siddhigavhane80/breast-cancer-prediction-using-machine-learning-a-step-towards-early-diagnosis-0b71518c82e5
- Built machine learning models for healthcare diagnosis
- Experience with data preprocessing, feature engineering, and model evaluation
- Integrated LLMs with vector databases (Pinecone) for intelligent document retrieval
- Developed AI-powered assistants using LangChain & FastAPI
- Deployed ML applications on Streamlit Cloud for real-time inference