Freelancers using Telegram API in IndiaFreelancers using Telegram API in India
Product studio for startups, apps, dashboards, and AI.
$10k+
Earned
8x
Hired
5.0
Rating
40
Followers
Product studio for startups, apps, dashboards, and AI.
AI & FlutterFlow Developer | Voice AI, n8n, Firebase
$10k+
Earned
2x
Hired
5.0
Rating
34
Followers
AI & FlutterFlow Developer | Voice AI, n8n, Firebase
Turning ideas into web apps, bots and solutions
Turning ideas into web apps, bots and solutions
CSE student building ML pipelines & AI-powered products
New to Contra
CSE student building ML pipelines & AI-powered products
Cover image for What It Is
SevaFlow is a
What It Is SevaFlow is a civic complaint management system that lets Indian citizens file government complaints through Telegram without downloading any app or creating an account. The complaint gets automatically understood, routed, and tracked using AI. How It Works End to End A citizen sends a plain text message to the Telegram bot describing their problem. That message gets sent to Google Gemini with a carefully designed prompt at temperature 0.1, meaning the AI outputs consistent, deterministic JSON every time. Gemini extracts the issue type, location, responsible department, priority level, and generates a summary, all returning a confidence score between 0 and 1. The routing engine then takes over. It applies priority override rules first, so words like "fire" or "emergency" always trigger urgent regardless of what the AI said. It maps the AI suggestion to a configured department, assigns an SLA deadline based on department and priority, and stores everything in SQLite. The citizen immediately receives a Telegram confirmation with their reference ID like SF1234, department name, priority, and expected response time. The Admin Side Government officials log into a dashboard at the FastAPI server. They can filter and sort complaints, view the full status history of each one showing who changed what and when, update the status with notes like "team dispatched", and trigger a Telegram notification back to the citizen automatically. What Makes It Technically Interesting The AI pipeline has a two layer fallback. If Gemini fails, keyword matching kicks in to identify the department. If that also fails, it routes to General Services with medium priority and confidence marked as 0.0 so admins know it needs manual review. Nothing gets lost. The department configuration is fully data driven. Adding a new government department requires zero code changes, just a new entry in config.py (http://config.py) with keywords, SLA hours, and contact email. The system picks it up on restart. The database tracks two separate tables: complaints with all AI output stored alongside the raw text, and status history with a complete changelog including timestamps and the identity of who made each change. Why It Won Most hackathon civic tech projects build a web form. SevaFlow used Telegram as the interface because that is where citizens already are, made the AI classification reliable enough to actually route correctly, and built the full government side too, not just the submission side. End to end in one system, deployable on a single lightweight server.
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AI & Automation Developer | Chatbots, SaaS, Web
New to Contra
AI & Automation Developer | Chatbots, SaaS, Web
Cover image for AI Email Automation System (Gmail
AI Email Automation System (Gmail → AI → Telegram / WhatsApp) Overview: I built an AI-powered email automation system that reads, understands, and acts on incoming emails automatically. It sends real-time updates via Telegram or WhatsApp, eliminating manual work and improving response speed. Problem: Managing emails manually takes 5–8 hours daily. Important emails get missed, responses are delayed, and repetitive tasks reduce productivity. Solution: I developed a fully automated workflow using n8n that processes emails in real time and performs intelligent actions using AI. Workflow: Gmail → AI Classifier → Smart Routing → Automated Actions → Telegram / WhatsApp Notifications Features: • AI classifies emails (High Priority, Support, Promotions, Finance, General) • Automatic replies for customer support emails • Summarization of promotional emails • Finance emails forwarded to the right person • Real-time alerts via Telegram or WhatsApp • Fully automated system (no manual work) Results: • Saved 50–70 hours per week • 40% faster response time • 200+ emails handled automatically per day Tech Stack: • n8n (automation) • OpenAI API (AI processing) • Gmail API • Telegram Bot API • WhatsApp API (via Twilio / Meta) Outcome: This system transforms email management from manual work into a fully automated AI-driven process. Call to Action: I can build a similar custom automation system for your business in 2–5 days, including Telegram or WhatsApp integration.
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Cover image for Are you or your team
Are you or your team still spending hours answering the same customer questions like “Where is my order?” I build smart AI automation systems that handle these repetitive queries instantly—so you can save time, reduce workload, and focus on growing your business. Using tools like n8n and AI models, I create custom workflows that automatically process customer requests, extract key information (like order IDs), fetch real-time data from your database, and generate accurate responses without human involvement. For example, a customer can ask about their order, and the system will instantly check the status and respond—no manual effort needed. This can be extended to multiple use cases such as customer support, lead handling, notifications, and more. Each system is fully customizable based on your business needs, whether you want integrations with Google Sheets, APIs, messaging platforms, or internal tools. What You Get Custom AI automation workflow Order/status tracking system Integration with your database (Sheets/API) Smart response generation using AI Scalable system you can expand anytime Use Cases E-commerce order tracking Customer support automation Lead response systems Internal workflow automation Why This Matters Reduce up to 50–70% of repetitive work Faster response time for customers Lower operational costs Better customer experience Custom Solutions This is just a basic logic setup—I can fully customize the system based on your requirements, tools, and workflow. Call to Action Have a specific idea or problem? Message me and I’ll help you design the perfect automation for your business.
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Cover image for A few months ago, I
A few months ago, I was sitting in a hospital corridor, waiting—first for a blood test, then for the report, then for basic clarity on what would happen next. The delay wasn’t caused by a lack of care, but by fragmented systems, manual handoffs, and information spread across counters and departments. Later that same day, I saw a family urgently searching for a blood donor, relying on phone calls and informal networks where minutes genuinely mattered. That moment stayed with me—not as a medical problem, but as a systems problem. As a developer, I started asking a simple question: What if healthcare workflows were designed with the same clarity, automation, and observability we expect in modern software systems? That question led me to build Medify—a healthcare web application focused on workflow optimization, automation, and responsible AI integration. From an engineering perspective, the platform includes: A centralized data layer for medical reports, test bookings, and appointment management to reduce manual coordination. A blood donor discovery feature where verified donors can create profiles and be matched by blood group and location, removing dependence on ad-hoc communication during emergencies. An AI-powered health assistant implemented using n8n workflow automation. The chatbot architecture follows a modular, safety-first flow: Webhook → Emergency Symptom Check → Conditional Routing → AI Agent → Controlled Response. Emergency scenarios are short-circuited with immediate guidance, while non-critical queries are handled by the AI agent—ensuring scalability, transparency, and clear boundaries around diagnosis. Using n8n allowed me to decouple orchestration from application logic, making the system easier to iterate, debug, and extend. Every step in the workflow is observable, which is especially important in healthcare-adjacent systems where reliability and accountability matter. This project is still evolving, but it’s grounded in a real experience and built with intent—treating healthcare delays as engineering problems that can be reduced through better systems design. I’m continuing to refine this platform and would love to connect with developers working in health tech, automation, AI orchestration, and scalable web architecture.
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Cover image for AI Lead Qualification & Routing
AI Lead Qualification & Routing System (n8n + Gemini + Apollo) A B2B sales team was struggling with slow lead response, manual triage, and missed opportunities due to inefficient workflows. I designed and implemented a fully automated AI-powered lead management system that captures, enriches, qualifies, and routes leads in real time — eliminating manual intervention. This system ensures every lead is processed instantly and assigned to the right sales representative with complete context. SYSTEM WORKFLOW • Lead Capture & Storage All incoming leads are captured via webhook and instantly stored to ensure no data is lost. • Data Enrichment (Apollo API) Automatically enriches lead data including company details, role, industry, and contact information. • AI Qualification (Google Gemini) Leads are analyzed and scored (Hot / Warm / Cold) using AI-based structured output. • Smart Routing & Scheduling Leads are automatically assigned to the right sales rep based on logic and availability. • Automated Notifications Gmail notifications are sent with full lead context, and CRM is updated instantly. RESULTS ✔ 50% faster lead response time ✔ Zero manual triage ✔ 2x increase in qualified conversations ✔ Improved sales efficiency and pipeline clarity TECH STACK • n8n (workflow automation) • Google Gemini (AI qualification) • Apollo API (data enrichment) • Gmail API (notifications) • Webhooks & CRM integrations USE CASE Ideal for: • B2B SaaS companies • Sales teams (SDR / RevOps) • Startups handling high lead volume CALL TO ACTION Looking to automate your lead pipeline and improve conversions? Send me a message — I can help you build a similar system tailored to your business.
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AI Automation Systems for Real Business Workflows
New to Contra
AI Automation Systems for Real Business Workflows
Cover image for Built a fully automated multi-platform
Built a fully automated multi-platform content publishing system that transforms a single Telegram video into ready-to-publish content across multiple social media platforms. The system automates the entire workflow — from receiving a video through Telegram to generating captions, processing content with AI, and automatically uploading posts to platforms like YouTube, Instagram, X, and Reddit. One of the key features was creating a complete review and approval flow directly inside Telegram, allowing users to approve or manage content before publishing without needing separate dashboards or tools. Key contributions: • Built an end-to-end automated content pipeline using Python and workflow automation tools • Integrated Whisper for speech-to-text transcription with OCR fallback support for extracting text from videos when needed • Used local LLMs with Ollama and Llama 3 to generate captions and social media content automatically • Automated browser-based uploads across multiple platforms using Playwright • Developed Telegram-based controls for content review, approval, and publishing workflows • Designed the system to run fully locally without relying on paid AI APIs Tech stack: • Python • Playwright • Whisper • Ollama • Llama 3 • Telegram Bot API • OCR Processing • Browser Automation • AI Content Pipelines This project strengthened my experience in AI-powered automation, browser scripting, local AI workflows, and scalable multi-platform content automation systems.
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40
Custom Web Solutions with Modern Technologies
Custom Web Solutions with Modern Technologies
AI Automation • Web Automation • Agentic AI • Vibe Coding
1x
Hired
5.0
Rating
33
Followers
AI Automation • Web Automation • Agentic AI • Vibe Coding
Cover image for Case Study: How One AI Agent Saved a Founder Weeks of Resear...
Case Study: How One AI Agent Saved a Founder Weeks of Research Hey founders! A few days ago, a client reached out with a new requirement. He said: “I need a full due diligence report Agent. Research everything news, social media, the whole internet and give me a clean PDF.” (for same report Messari.io (https://messari.io/) charge $4000/year) No big research team. No weeks of waiting. I built a smart AI agent that handled the entire job automatically. Here’s exactly what happened: The client simply uploaded the white paper. The AI read it carefully, then went out and searched the internet, news sites, and social media for real-world insights, risks, and opportunities. It pulled everything together and delivered a professional, ready-to-read PDF report. All done in hours instead of weeks. I used the latest AI tools behind the scenes a simple chat interface on Slack, multiple smart agents working together, and powerful search capabilities. But the founder didn’t need to know any of that. He just uploaded the document and got his report. This kind of AI is perfect when you have a consistent workflow things you do again and again, like due diligence, market checks, competitor reviews, or investment research. It gives you accurate, thorough results every single time without hiring extra people or spending endless hours. For non-tech founders, this is game-changing. You stay focused on building your business while the AI does the heavy research lifting. Would you use an AI like this for your next big decision? Drop a comment I’d love to know what kind of research you hate doing manually! 👇
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