Freelance Conversational Bots in IndiaFreelance Conversational Bots in India
ProjectsPeople
Varun Sethi's avatar
Varun Sethi
proChandigarh, India
Full-Stack Developer | React, Next.js, Node.js & Python
New to Contra
Full-Stack Developer | React, Next.js, Node.js & Python
Cover image for AI Data Assistant Inside Tableau I
AI Data Assistant Inside Tableau I built an AI-powered chatbot for Tableau that allows users to interact with their existing dashboards and data through natural-language questions. Instead of manually navigating through multiple Tableau workbooks to find a specific metric or insight, users can ask the assistant what they need and receive relevant information from the available Tableau data and dashboards. The solution adds a conversational AI layer directly to the existing BI workflow, helping users explore their data and find the right dashboard or report without changing how their Tableau environment is structured.
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Cover image for AI Data Assistant Inside Power
AI Data Assistant Inside Power BI I built an AI-powered chatbot directly inside Power BI to help users interact with their existing dashboards and data through natural-language questions. Instead of manually opening multiple dashboards to find a specific metric, users can ask the assistant a business question and receive a data-grounded answer along with the relevant report/dashboard source. The assistant works across multiple Power BI dashboards and can provide context from the available reports, making it easier to find insights without changing the existing BI environment. Key capabilities: - Ask questions directly inside Power BI - Connect with existing Power BI data - Search across dashboards and reports - Get relevant metrics and insights - Identify the source report/dashboard - Answer data-driven business questions - Work within existing BI infrastructure - Add a conversational layer to Power BI
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Cover image for Manufacturing Quality & Operations Platform I
Manufacturing Quality & Operations Platform I designed and developed the frontend for a production-grade manufacturing quality and operations platform used within a multibillion-dollar global consumer goods enterprise. The application brings quality workflows, production reporting, SKU management, plant-level analytics, and role-based operations into a single platform. I worked across the Next.js application architecture, UI/UX implementation, API integrations, authentication, state management, reporting workflows, and reusable component system. Key areas - Operations & Reporting: Adoption, SKU Plant Summary, Plan vs Actual, PCP Tracker, PCRO and CRQS reports - Quality Workflows: Product/SKU management, barcode scanning, product -verification and multi-step SKU creation - LQA Operations: Pending SKU workflows, employee/site selection, product details, barcode capture and validation - Shift Supervisor: Employee selection and role-specific workflows - Analytics: KPI cards, donut/bar charts, trends, filters and deep-dive analytics - Admin: Site management, user profile, role-based access and protected routes - Reusable UI: Tables, charts, cards, modals, forms, tabs, filters, dropdowns and navigation components
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Cover image for I designed and built Distill
I designed and built Distill IQ, a full-stack retail pricing intelligence platform for a US-based liquor business. The application processes and presents large-scale pricing data through interactive product surveys, competitor comparison analytics, raw data exploration, and user/access management. I worked across the React frontend, Python backend, APIs, BigQuery data layer, business logic, and UI components to build the platform from the ground up. Key features: Pricing Survey: 5,200+ SKUs, 110+ brands, search and advanced filtering Competitor Analytics: Compare products across markets with average, median, mode, price ranges, and price gaps Market Analytics: Interactive price distribution, historical trends, and competitor comparison Raw Data Explorer: BigQuery-backed data exploration with filtering, pagination, and export User Management: User accounts, roles, permissions, market access, and catalog management Reusable UI: Tables, filters, cards, charts, forms, and responsive components
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Conversational Bot(2)
Harshavardhan Surisetty's avatar
Harshavardhan Surisetty
Visakhapatnam, India
Software engineer turning ideas into working products.
$1k+
Earned
1x
Hired
7
Followers
BOLT_EXPERT

Expert

BOLT_MENTOR_EXPERT

Mentor

Software engineer turning ideas into working products.
Cover image for AI-Powered FAQ Widget
AI-Powered FAQ Widget
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33
Cover image for Closet AI
Closet AI
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11
Cover image for OpenAPI to MCP Generator Project
OpenAPI to MCP Generator Project
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6
Cover image for SmartStay
SmartStay
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8
Conversational Bot(1)
Harsh Agrawal's avatar
Harsh Agrawal
India
Empowering Businesses with Custom AI Solutions
Empowering Businesses with Custom AI Solutions
Cover image for AI Chatbot for Customer Support Service
AI Chatbot for Customer Support Service
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55
Cover image for Instagram Customer Support Chatbot
Instagram Customer Support Chatbot
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27
Cover image for Email Marketing & Automation for Different Email Workflows
Email Marketing & Automation for Different Email Workflows
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27
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Conversational Bot(2)
Belal Akram's avatar
Belal Akram
Patna, India
Build Ai Voice & Chat Agents | Business Process Automation
New to Contra
Build Ai Voice & Chat Agents | Business Process Automation
Cover image for AI Web Chat Agent for
AI Web Chat Agent for Real Estate Lead Qualification & Appointment Booking Real estate websites attract buyers and sellers around the clock, but every conversation requires timely responses, the right questions, and accurate follow-up. As inquiry volume grows, manually managing these conversations becomes increasingly difficult, and valuable opportunities can be missed before an agent has a chance to respond. To address this, I built an AI-powered web chat agent that engages visitors the moment they arrive on the website. Rather than offering scripted replies, the assistant holds natural conversations, understands whether the visitor is looking to buy or sell, and adapts its questions based on the direction of the conversation. As the conversation progresses, the agent gathers important information such as property preferences, budget, preferred location, timeline, or selling requirements. It qualifies each inquiry in real time, allowing businesses to identify serious prospects without manually reviewing every conversation. The assistant is also connected to a knowledge base, enabling it to answer common questions about properties, services, and the buying or selling process while maintaining consistent and accurate responses. When a visitor is ready to move forward, the chatbot can schedule an appointment directly through the conversation, creating a smooth transition from the initial inquiry to the next step without requiring manual coordination. Every interaction is automatically recorded in Google Sheets and Airtable, ensuring customer details, qualification data, and conversation history remain organized and accessible for future follow-up. The chat experience includes interactive buttons alongside conversational AI, making it simple for visitors to navigate while still allowing natural, flexible conversations when additional guidance is needed.
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Cover image for AI Voice Agent for Real
AI Voice Agent for Real Estate Lead Qualification & Appointment Booking Real estate businesses often lose qualified leads because every inquiry requires immediate attention, consistent follow-up, and manual qualification. This custom-built AI voice agent handles those initial conversations automatically, allowing sales teams to focus on serious buyers instead of repetitive administrative work. The agent begins each call with a time-aware greeting, such as Good Morning, Good Afternoon, or Good Evening, before engaging the caller in a natural, human-like conversation. During the conversation, the agent understands the caller's property requirements, asks relevant qualification questions, evaluates their level of interest, and captures the information needed for the sales team. When a caller demonstrates strong buying intent, the agent politely offers to schedule an appointment and books it automatically based on availability. If the caller is not yet ready to book, the conversation is still captured, and the customer's details, property requirements, and interest level are automatically recorded for future follow-up. All lead information is automatically stored in Airtable and Google Sheets, eliminating manual data entry and providing a structured record of every customer interaction. By handling the initial conversation automatically, the agent helps real estate businesses respond faster, spend less time on repetitive tasks, and focus on qualified leads that are ready to move forward.🚀
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Cover image for Built an AI-powered web chat
Built an AI-powered web chat agent using Voiceflow to handle customer conversations and automate common website interactions. The agent understands visitor intent, retrieves relevant information from a business knowledge base using RAG, generates context-aware responses, and takes actions based on the conversation. It can handle FAQs, customer support, appointment scheduling, lead capture and qualification, customer information collection, issue reporting, and human handoff when needed. I also designed the workflow to connect with business systems such as CRMs, calendars, email, notifications, helpdesks, databases, and Google Sheets. The goal was to move beyond a simple chatbot and create a system that can understand conversations, access the right information, take useful actions, and keep business processes connected. This setup can be adapted to different business workflows, knowledge bases, conversation flows, and integrations.
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Cover image for Built an AI voice agent
Built an AI voice agent to handle both inbound and outbound business calls. The agent can answer questions, qualify leads, collect caller information, book appointments, and transfer calls to a human when needed. I also connected the voice workflow with the CRM so important call and lead information can be passed to the right system automatically. The idea was to connect the conversation itself with the actions that happen after the call — from qualifying a lead to booking an appointment and keeping customer records updated. The workflow can be adapted based on the business, conversation flow, and integrations required.
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Conversational Bot(2)
krishna Maurya's avatar
krishna Maurya
Ahmedabad, India
n8n Expert | AI Voice agent Builder | no code AI automation
n8n Expert | AI Voice agent Builder | no code AI automation
Cover image for Travel Assistant Chatbot
Travel Assistant Chatbot
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19
Cover image for E-Commerce Chatbot
E-Commerce Chatbot
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12
Cover image for Automate instagram with manychat
Automate instagram with manychat
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12
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Conversational Bot(3)
Hardikkumar Vinzava Top 1% Framer Creator's avatar
Hardikkumar Vinzava Top 1% Framer Creator
proAhmedabad, India
Verified Framer Partner, Unicorn Club Top 1% Framer Creator
$50k+
Earned
16x
Hired
5.0
Rating
172
Followers
FRAMER_EXPERT

expert

UNICORN_HIRED_CLUB_EXPERT

Club

+1
Verified Framer Partner, Unicorn Club Top 1% Framer Creator
Cover image for Contactly : WhatsApp and Facebook Business Connect Framer Plugin
Contactly : WhatsApp and Facebook Business Connect Framer Plugin
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83
Cover image for Orwell Construction Website Design and Development
Orwell Construction Website Design and Development
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11
Cover image for Luxury Clone Australia E-commerce Website Design
Luxury Clone Australia E-commerce Website Design
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Cover image for Accoutrement Tours Luxury Travel Website
Accoutrement Tours Luxury Travel Website
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23
Conversational Bot(1)
Sparsh Gupta's avatar
Sparsh Gupta
proBengaluru, India
Helping B2B startups unlock growth with AI & GTM
5x
Hired
5.0
Rating
19
Followers
Helping B2B startups unlock growth with AI & GTM
Cover image for Building a Slack Bot Using Python
Building a Slack Bot Using Python
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13
Cover image for Enrich & qualify leads with HubSpot, OpenAI & Bright Data
Enrich & qualify leads with HubSpot, OpenAI & Bright Data
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12
Cover image for LinkedIn CRM Outreach Automation Project
LinkedIn CRM Outreach Automation Project
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17
Cover image for Automated PDF Generation using Zapier
Automated PDF Generation using Zapier
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12
Conversational Bot(1)