AI Project #3 · Agentic · Dual-model
Turn meetings into meaningful action.
Paste a transcript. A team of AI agents extracts decisions, action items, owners, deadlines and risks, cross-checks them against the source, and lets you ask questions in plain language.
Ingest
Paste a transcript from Zoom, Meet or Teams.
Extract
Agent 1 finds decisions, tasks, owners, deadlines and risks.
Verify
Agent 2 checks every item against the transcript line.
Plan and track
Agent 3 writes the summary and next steps. You approve.
Studio
Run the agent pipeline with your own key, or use the offline rule engine with no key at all.
AI assistant
Ask about the meeting you analyzed. Answers use only the transcript and cite line numbers.
How the agents work
Three specialists with one job each. If a model returns bad JSON, the agent retries once. If a provider fails, the other one takes over.
Extractor
Reads numbered transcript lines and returns structured JSON, including implicit tasks like “someone should look into this”.
Critic
Runs on the second model when you connect both keys. Removes items the transcript does not support, fixes owners and lowers confidence.
Planner
Writes the summary, the next steps and a ready-to-send follow-up email.
Model detection
Paste any key. “gsk_” keys go to Groq, “AIza” keys go to Gemini. The app lists the models on your account and picks the best current one.
Grounded assistant
Retrieves the most relevant transcript lines for each question, then answers with citations.
Human review
Items with no owner, no date or low confidence are flagged. Nothing is final until you tick it.
Technology
Static front end for free hosting. The same design scales to a service backend.
transcript ─► Extractor (Groq) ─► Critic (Gemini) ─► Planner (Groq) ─► review board
│ │ │
└──── retries + provider failover ──────┘
question ─► line retrieval ─► Assistant (best available model) ─► cited answer
About the builder
Nikhil Chary Sriramoju
Final-year B.Tech student in Computer Science and Engineering. I build agentic AI systems, secure infrastructure and full-stack products, and ship them from my phone with Termux and GitHub Pages.
Certifications and simulations
- Forage: PwC Technology Consulting and Cyber Security, Datacom Cyber Security Operations and AI Accelerator, Clifford Chance, British Airways Data Science, Latham & Watkins, Deloitte Data Analytics and Technology
- NASSCOM and Skill India: IT Forensic Analyst, Cloud Infrastructure Analyst, Endpoint Security, Blockchain Architect, Product Manager
- Reliance Foundation: AI-ML Engineer Foundation, IoT Security Specialist, Industry 4.0 Robotics
- NIELIT Yuva AI for All · Thiranex Data Analytics internship · Power BI (PHN Technology)