Built a deployed AI tool that lets users upload research papers and query them using natural language. RAG pipeline with vector search retrieves precise context-aware answers. Features PDF parsing, AI summaries, topic modeling, and citation extraction. Live on Render.
Just launched my AI development services on Contra!
I specialize in:
š¤ RAG Chatbots using LangChain
ā” Multi-Agent Systems using LangGraph
š ML Models with SHAP explainability
šÆ Data Science & Python dashboards
8+ deployed projects | 3 internships
Check out my services š
contra.com/moiz_roshan_zszcum4s
Built an empathetic mental wellness chatbot using LLaMA 3.3 and LangChain. Features mood-based conversations, real-time sentiment analysis, ChromaDB vector memory, breathing exercises, and journaling prompts. Deployed live on Streamlit Cloud.
Built a deep learning system to detect brain tumors from MRI scans using VGG16 transfer learning. Integrated Grad-CAM heatmaps for explainable AI output. Achieved 94.9% confidence with 4-class classification. Full pipeline from raw MRI input to visual diagnosis output.