Anish Nagargoje

Dynamic AI and blockchain innovator with a proven track record at Schedrix and FairSeat, mastering Python programming and optimization techniques. Excelled in developing AI models to predict customer behavior and spearheading a blockchain ticketing platform, showcasing exceptional problem-solving skills and a passion for fairness in technology.

1.Personal Finance Chatbot (PoC)

Developed a chatbot prototype to provide personalized financial insights based on user queries.

Designed to ingest account aggregator-style financial data and return budget suggestions, savings goals, and expenditure breakdowns.

Integrated with rule-based logic and basic LLM prompting to simulate conversations around financial planning

Tech Used: Python, LangChain (or OpenAI API), Streamlit, JSON mock data

2.Sign-Language Detection

Built a real-time sign language recognition system using a custom-trained YOLOv8 model.

Annotated ASL gesture dataset and trained model on Google Colab.

Integrated OpenCV to enable real-time detection through a webcam.

Tech Used: Python, YOLOv8, Roboflow, OpenCV, Google Colab

3.PCB fault and component detection

Designed a CV pipeline to detect missing components on PCBs by comparing them to reference circuit diagrams.

Implemented image alignment, contour detection, and visual diffing with OpenCV.

Tech Used: Python, OpenCV, NumPy, Scikit-Image

4.AI-based bot detection system

Built an ML system to detect bot-like behavior during ticket checkouts (e.g. rapid clicks, no mouse movement, fixed timing).

Trained a Random Forest on synthetic user sessions to classify human vs bot activity in real-time.

Designed a mock API that returns bot-likelihood score during high-demand ticket drops.

Tech: Python, Scikit-learn, Flask, Faker, Pandas

Helps FairSeat fight scalping by identifying and blocking automated bulk buyers.

UDEMY MACHINE LEARNING COURSE

COURSERA DEEP LEARNING

UDEMY OBJECT DETECTION USING YOLO