PRASHANTYADAV.

NEWS TRANSPARENCY & BIAS ANALYSIS PLATFORM

Refracts any article, YouTube link, or pasted text into a six-stage transparency analysis — claim classification, source provenance, live fact-checking, and cross-outlet coverage gaps.

• ▸Deployed full-stack platform: sentence-level claim/opinion/rhetoric classification, source forensics, and coverage-gap comparison across outlets.
• ▸RAG fact-checking pipeline ranks an article's most salient claims, searches them against live web sources, and grounds Llama 3.3 70B verdicts in real citations — with a ≥2-source backfill so no verdict rests on a single proof.
• ▸Resilient by design: fail-open Redis caching, per-IP rate limiting, keyless RDAP/DNS/IP forensics and YouTube transcript extraction — degrading gracefully when a dependency is absent.

TELEMETRY

REAL-TIME SURVEILLANCE THREAT DETECTION

A multi-stage computer-vision pipeline that watches video streams for conflict, weapons, and crowd risk — scoring threats in real time.

• ▸Chains a Swin Transformer conflict classifier, a fine-tuned YOLOv8 weapon detector, and a crowd-density estimator into one unified threat-scoring engine.
• ▸Trained on a custom-labelled surveillance dataset with targeted augmentation and class balancing to cut false positives on crowded, visually ambiguous scenes.
• ▸GPU-accelerated CUDA inference loop decodes, preprocesses, and scores frames in real time, overlaying live alerts on streams and recorded footage.

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RAIL JOURNEY LIGHT & SEAT-SIDE PLANNER

Answers one very specific travel question — which side of the train to sit on, and when to look out the window — by computing it from route geometry, published schedules, and real-time solar position instead of static rules.

• ▸Derives a left/right seating verdict per journey from route geometry, timetable data, and astronomical sun position, attaching a confidence level and readable reasoning to every recommendation.
• ▸Renders a Light Band across the whole journey — sun trajectory, lighting conditions, and the exact time windows and viewing directions for each scenic stretch, mapped down to berth groups and window walls.
• ▸Ten hand-verified Indian rail routes including the Darjeeling Himalayan, Kalka–Shimla, and Nilgiri Mountain railways, built on OpenStreetMap and open datasets with no scraping and no API keys, and covered by property-based and end-to-end tests.

TELEMETRY