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aboro-code/README.md

Arnab Boro

Third-year CS student in Bangalore building AI/ML systems — retrieval, RAG pipelines, and applied computer vision. Previously frontend at Attentive AI, where I shipped 24+ production features.

Currently building a thumbnail optimizer for content creators and ARIA, a voice assistant on the Claude tool-use API.

Selected work

beautyrag — Hybrid search + RAG assistant over a Sephora skincare catalog. Reciprocal Rank Fusion across pgvector similarity and Postgres full-text search, with an anti-hallucination guardrail on Q&A. FastAPI · Redis · Groq · Live demo

Vexardrive-fleet-analysis — Driver behaviour and vehicle health analytics for a two-wheeler fleet, scoring 13,000+ readings. K-means · Isolation Forest · Streamlit + Plotly · Live dashboard

BioAttend — Face-embedding attendance system with pgvector similarity search. React · FastAPI · Docker · Live demo

thumbnail-optimizer — Predict, explain and A/B-test candidate thumbnails before publishing. MERN + Python CV service. In active development.

Working with

Python · TypeScript · FastAPI · PostgreSQL/pgvector · React · Docker

Open to AI/ML internships.

Portfolio · Email · LinkedIn

Pinned Loading

  1. beautyrag beautyrag Public

    Hybrid search + RAG assistant over an 8,000-product skincare catalog. Reciprocal Rank Fusion across pgvector similarity and Postgres full-text search, with an anti-hallucination guardrail on Q&A.

    Python

  2. BioAttend BioAttend Public

    Face-embedding attendance system — vector similarity search over face embeddings with pgvector. React + FastAPI, containerised with Docker.

    Jupyter Notebook

  3. thumbnail-optimizer thumbnail-optimizer Public

    Predict, explain, and A/B-test candidate thumbnails before you publish — a full-stack MERN + Python AI application for content creators.

    JavaScript

  4. Vexardrive-fleet-analysis Vexardrive-fleet-analysis Public

    Driver behaviour and vehicle health analytics for a two-wheeler fleet — risk scoring across 13,000+ telemetry readings using K-means clustering and Isolation Forest anomaly detection.

    Jupyter Notebook