Digamber Jha's Work | ContraWork by Digamber Jha
Digamber Jha

Digamber Jha

Full Stack & AI Engineer | Python, React & LLMs

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Patna, India

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Patna, India

Cover image for Multimodal Video SEO & Content
Multimodal Video SEO & Content Intelligence Engine Engineered an end-to-end, 100% offline Multimodal Video SEO & Strategy Intelligence system designed for high-volume content creators and media marketing agencies. Core Multimodal AI Pipeline: • Audio Intelligence (Whisper): Millisecond-precision speech-to-text, tone detection, cadence tracking, and keyword density analysis. • Computer Vision & Thumbnail Scorer (OpenCV + Vision LLMs): Semantic scene identification, on-screen text extraction, and predictive A/B thumbnail clickability scoring. • Strategic Logic & SEO Pack: Correlates audio and visual signals to compute weighted retention scores (Hook 35%, Keyword 25%, Visual 25%, Sentiment 15%) and automated metadata packages. • Competitor Benchmarking: Automated transcript gap analysis to identify underserved search demand and audience retention triggers. • Automated Client Reporting: Production-grade automated PDF audit generation with visual breakdown charts. Tech Stack: • Core: Python, FastAPI (Async Orchestration), OpenCV, FPDF2, SQLite • AI & Local Models: OpenAI Whisper, Gemma / Local LLMs via Ollama, TextBlob • Dashboard: Streamlit Analytical Interface
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Cover image for Autonomous AI CRM & Revenue
Autonomous AI CRM & Revenue Intelligence Platform Built an enterprise-grade AI-powered CRM and Revenue Intelligence SaaS platform featuring autonomous prospecting, predictive deal analytics, and automated SDR workflows. Core Architectural Modules: • AI Prospector (Autonomous Lead Discovery): Real-time map discovery (Google Places/OpenStreetMap) and automated web enrichment with LLM fit scoring (1-10) and custom pitch generation. • Shadow SDR: Asynchronous cold outreach email draft generator powered by FastAPI BackgroundTasks and local/cloud LLM chaining (Ollama/Groq/Gemini). • Dynamic CRM Pipeline: Drag-and-drop Kanban board (@dnd-kit) with strict phone deduplication, server-side pagination, and one-click lead-to-sale transitions. • Predictive Revenue Engine: Scikit-Learn regression models for deal win-probability and cash flow forecasting. • Conversational Sales Assistant: Integrated floating AI chatbot for natural-language pipeline queries and call log summarization. Tech Stack: • Backend: Python (FastAPI), SQLAlchemy (Async), PostgreSQL 15, Redis, Alembic, Docker • Frontend: React 18, TypeScript, Vite, TailwindCSS, Shadcn UI, Zustand, TanStack Query v5 • Machine Learning & AI: Scikit-Learn, LangChain, Groq, Gemini, Ollama
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Cover image for Just launched a turnkey AI
Just launched a turnkey AI Media Intelligence & Growth Operating System for creator agencies, growth teams, and founders. Most creator tools are either generic ChatGPT wrappers or lock you into expensive monthly seats with API markups. I built an end-to-end media OS that gives you full ownership: 🚀 Core Modules: • Deep Channel Audit: Automated diagnostics on hook retention, traffic leaks, and metadata flaws on any public or connected YouTube channel. • 30-Day Growth Roadmap: AI-powered, data-backed content cadence, video outlines, and hook frameworks. • Multi-Channel Sync: YouTube & Instagram analytics aggregation in one workspace. • BYOK Architecture: Bring-Your-Own-Key LLM integration (OpenAI/Anthropic/Gemini) with zero platform markup. • Complete Workspace: Script pipeline, blog repurposing, and LinkedIn post generation. 📦 What’s included in the Turnkey Setup: Full commercial source code license (React UI + FastAPI backend). Hands-on cloud deployment to your server (VPS/AWS). OAuth & API keys configuration. 1-on-1 architecture walkthrough call. Check out the full service offering and book a 15-min live demo walkthrough here: https://contra.com/s/L2UlZFvm-turnkey-ai-media-os-and-you-tube-audit-system-custom-setup
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Cover image for Built an end-to-end AI-powered Content
Built an end-to-end AI-powered Content Planner and YouTube and Instagram Analytics platform designed to automate channel audits and streamline production workflows. Key Highlights: • Automated Channel Auditing: Evaluates video performance, pacing, and retention drivers. • AI Content Strategy: Generates data-backed content outlines, hooks, and topic clusters. • Real-time Analytics Dashboard: Aggregates core YouTube performance metrics to deliver actionable publishing insights. Tech Stack: Python, FastAPI, React, AI/LLM integrations, TailwindCSS.
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