Voice-Driven Internal Insights AI

₹75000-150000 INR

Closed

Posted about 1 month ago

₹75000-150000 INR

Paid on delivery

I need a conversational agent that can listen to my spoken questions, translate them into the right SQL (or other) queries against our internal database, analyse the results on the fly, then answer me aloud with clear, actionable insights. All interaction happens through voice commands; there is no need for a chat box or dashboard. The database already houses our production data, employee-performance metrics and inventory levels. Typical requests I want to make sound like: • “What were yesterday’s top losses on the production line?” • “Highlight any risks to the production systems of my machine.” • “Tell me which SKUs are running on which lines ?.” The agent should handle follow-up questions, remember the context of the current session, and surface trends or anomalies rather than just raw numbers. Fast, accurate speech recognition and natural-sounding text-to-speech are essential. Please design the end-to-end solution, connect securely to the internal database, build the natural-language layer, and deliver a working voice interface I can test in a browser or lightweight desktop app. Final hand-off includes source code, deployment instructions and a brief user guide.

AI Chatbot

Natural Language Processing

Voice Assistance Devices

Project ID: 40330231

About the project

3 proposals

Active 28 secs ago

Location: Chandigarh, India

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3 freelancers are bidding on average ₹75,000 INR for this job

@Prashantk247

Hi, I can build your voice-based conversational agent end-to-end. What I’ll deliver: • Voice input (speech-to-text) + voice output (text-to-speech) • Natural language → SQL/query conversion (secure & accurate) • Context memory for follow-up questions • Real-time data analysis (trends, risks, anomalies) • Secure connection to your internal database • Browser or lightweight desktop interface • Source code + deployment guide + user instructions Tech approach: • Python/Node.js backend + LLM-based query layer • Controlled query generation (no unsafe queries) • Fast STT/TTS integration for natural interaction Experience: • Built AI automation tools, data-driven systems, and API-based applications • Strong in backend logic, analytics workflows, and conversational systems Timeline: 5 days Ready to start and can first build a small working demo for your use case .

₹75,000 INR in 5 days

5.0

(3 reviews)

3.4

@aryans2234

Building a Voice-Driven Internal Insights AI requires more than just connecting a microphone to an LLM. It demands a highly secure, context-aware RAG (Retrieval-Augmented Generation) pipeline that can understand conversational voice queries, retrieve the right internal data, and deliver accurate insights without hallucinating facts. I specialize in AI, machine learning, and computer vision, with a strong focus on building intelligent conversational agents using Python and FastAPI. My Approach to Your Project: Accurate Voice Processing: Integrating state-of-the-art Speech-to-Text (STT) to capture nuanced verbal queries and Text-to-Speech (TTS) for natural, fluid delivery of insights. Contextual Query Resolution: Voice interactions are naturally fragmented. I will implement short-term memory (e.g., Redis) and query reformulation logic so the AI remembers follow-up questions without losing the context of the active subject. Strictly Grounded Retrieval: I will set up a secure vector database (like Qdrant) to index your internal documents. By utilizing strict anti-hallucination prompting techniques, the AI will be forced to base its insights only on your internal data. Secure & Scalable Backend: Developing a lightweight, highly responsive backend using FastAPI that can be deployed securely, ensuring your internal data remains private. Best regards, Aryan

₹75,000 INR in 10 days

0.0

(0 reviews)

0.0

@luckyk554

I propose to develop a voice-based AI conversational agent that listens to spoken queries, converts them into accurate SQL queries, analyzes your internal database, and delivers clear spoken insights. The system will support real-time speech recognition, natural text-to-speech, and context-aware conversations for follow-up questions. It will identify trends, anomalies, and risks instead of just returning raw data. The solution will include secure database integration, a natural language processing layer, and a lightweight browser or desktop voice interface. I will deliver a fully functional system with source code, deployment instructions, and a user guide for easy implementation and testing.

₹75,000 INR in 4 days