AI research platform for a century of Indian media scholarship
AI-powered research platform analysing a century of Indian media coverage — 7,618 articles, semantic search, tone analysis, and conversational AI access to the full corpus.
Conversational access to 7,618 articles via Claude Sonnet with 8 specialised tools — filter, search, compare, and synthesise across 100 years of coverage.
11 interactive charts (Dash 4.1 + Plotly 6) — sentiment trends, outlet breakdowns, temporal heatmaps, and decade-level comparisons.
fastembed ONNX embeddings in pgvector. Find thematically related articles far beyond keyword matching.
Per-article tone scores (−2 to +2) and framing labels across the full corpus, coded by Claude Haiku via Batch API.
Multi-session memory lets scholars resume exactly where they left — queries, notes, and findings persist across sessions.
15 readability and linguistic metrics (spaCy + textstat) plus semantic labels for framing, jargon, attribution, and bias on every article.
Hosted at saakshi.biltzentech.in