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paramramit305-a11y/README.md

Amit Parmar

AI/ML engineer in training — BSc IT student (Gokul Global University) building GenAI and agentic systems end to end, from model logic to deployment.

📍 Palanpur, Gujarat · Open to AI/ML internships (Ahmedabad or remote) · paramramit305@gmail.com

Currently

  • Completed a self-correcting RAG system (CRAG) with LangGraph — per-document grading, query reformulation, live web search fallback, deployed on Streamlit
  • Going deeper on agentic systems — tool-using agents, persistent memory, multi-agent coordination (Agno framework)
  • Applying for my first AI/ML internship

Stack

Languages: Python

GenAI & Agentic: LangGraph LangChain Agno ChromaDB Tavily PyTorch

LLM APIs: Groq OpenAI compatible

Deployment: Flask Streamlit Render HuggingFace

Featured projects

CRAG — Corrective RAG Research Assistant — Self-correcting RAG built with LangGraph: grades each retrieved document individually, reformulates queries on ambiguous results, falls back to live web search when local docs fail. · Live

YouTube Video Analyzer — Agno agent that takes a YouTube link and returns a timestamped breakdown using tool calls, not a single prompt. · Live

AI Personal Assistant — Flask app on Groq's API, running in production on Render. · Live

See all repos →

LinkedIn · HuggingFace

Pinned Loading

  1. agentic-ai-youtube-analyzer agentic-ai-youtube-analyzer Public

    Agno agent that takes a YouTube link and returns a timestamped breakdown of the video, using Groq + YouTubeTools. Built while learning the Agno framework.

    Python 1

  2. crag-research-assistant crag-research-assistant Public

    A self-correcting RAG system built with LangGraph — grades each retrieved document individually, refines relevant knowledge, and falls back to live web search when local documents are insufficient.

    Python 2

  3. RAG-Pipeline RAG-Pipeline Public

    RAG pipeline from scratch — PDF ingestion, local embeddings, ChromaDB vector store, and LLM-agnostic generation (Groq/OpenAI/Anthropic) using LangChain.

    Jupyter Notebook 1

  4. ai-personal-assistant ai-personal-assistant Public

    Flask-based AI Assistant powered by Groq API

    HTML 1

  5. text-summarizer-t5-finetune text-summarizer-t5-finetune Public

    Fine-tuned T5-small on SAMSum dataset for dialogue summarization | HuggingFace Transformers · FastAPI · Gradio · Deployed on HF Spaces

    HTML 1

  6. credit-risk-streamlit-app credit-risk-streamlit-app Public

    💳 End-to-end ML web app for loan approval prediction | Logistic Regression | 88% Accuracy | F1: 80.9% | Deployed on Streamlit

    Jupyter Notebook 4