Freelancers using Streamlit in Delhi
Freelancers using Streamlit in Delhi
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Trashu Vashisth
Delhi, India
Building Production-Grade AI Agents & RAG Systems
13
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Building Production-Grade AI Agents & RAG Systems
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The Problem: Sales teams waste 60% of their time researching leads instead of closing them. The Solution: I built a custom Agentic AI Pipeline that automates deep-dive business intelligence and lead scoring. Key Technical Highlights: Multi-Agent Architecture: Built using CrewAI, featuring a 'Business Intelligence Specialist' (for real-time research) and a 'Senior Sales Director' (for strategic scoring). High-Speed Intelligence: Powered by Llama 3.3-70B for near-instant reasoning and decision-making. Real-time Web Scoping: Integrated Tavily AI to fetch live revenue data, employee counts, and market positioning. Enterprise Storage: A robust SQLite backend to manage lead pipelines with a sleek Streamlit dashboard. Smart Throttling: Engineered custom rate-limiting and token-trimming logic to ensure 99.9% uptime even under heavy API constraints. How it works: Simply enter a company name and URL. The AI agents scour the web, analyze the company's "AI potential," calculate a priority score (0-100), and even write a personalized sales pitch—all in under 30 seconds.
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An autonomous AI system that turns a simple voice command into a deep-dive research report in seconds. No typing, no manual searching. Key Highlights: Voice Control: Uses Speech-to-Text for hands-free research triggers. Multi-Agent Intelligence: Powered by CrewAI & Llama 3.3 (Groq) to find, verify, and summarize live web data. Voice Synthesis: Delivers an instant audio summary via ElevenLabs. Automated Export: Generates a professional PDF report automatically. Tech Stack: CrewAI, Groq, ElevenLabs, Streamlit, DuckDuckGo API.
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I built a professional, end-to-end AI Receptionist system designed to automate clinic appointment management. This isn't just a chatbot; it's an AI Agent that can reason, use tools, and manage a live database autonomously. Key Contributions: Agentic Reasoning: Integrated CrewAI with Llama 3.3 (Groq) to enable the agent to understand complex user intents (Booking vs. Cancellation) and relative time (e.g., "next Tuesday at 3pm"). Autonomous Tool Use: Developed custom Python tools that allow the agent to verify real-time availability in a SQLite database and execute atomic transactions without human intervention. High-Performance Backend: Built a robust API using FastAPI to handle asynchronous requests between the AI agent and the database. Premium Dashboard: Designed a modern, Glassmorphic UI using Tailwind CSS that provides a real-time sync of the clinic’s schedule. The Result: A seamless, hands-free system that reduces administrative overhead by 100%, allowing clinic staff to focus on patients while the AI handles the entire scheduling lifecycle. Tech Stack: Python, CrewAI, Groq API, FastAPI, SQLite, Tailwind CSS
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Developed a highly responsive AI Voice Agent using Vapi that handles real-time conversations with exceptional clarity. The agent is designed to engage users naturally, gather specific information during the call, and accurately extract that data for further use. The voice quality for both the user and the bot is seamless, making the interaction feel professional and human-like
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130
Streamlit
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Ritik goyal
Delhi, India
Python & Django developer for web apps and APIs
New to Contra
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Python & Django developer for web apps and APIs
1
Built a Python-powered automated trading tool that pulls live market data, runs technical analysis, and generates real-time trade signals. Features normalized comparison charts across multiple assets (Nifty, USD Index, Brent Crude, US 10Y Yield), a macro pressure table, correlation analysis, and a portfolio helper. Backend built in Python with automated data pipelines, live market feeds, and signal interpretation logic that flags bullish/bearish pressure. Clean, data-dense dashboard for fast decision-making. Tech: Python, Pandas, REST APIs, data automation, real-time charting.
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An AI-driven trading engine that analyzes 200-DMA breakouts and real-time market sentiment to generate long/short recommendations. It scans 1,500+ NSE stocks in under 2 seconds and uses generative AI to build option strategies, delivering event-driven trade signals end-to-end. I built the full Django backend, async APIs, and the signal-generation logic. Accomplishments and responsibilities: Built an AI-driven trading engine analyzing 200-DMA breakouts and market sentiment, generating long/short signals with ~70% directional accuracy — outperforming baseline strategies by 35%; Integrated generative-AI insights for automated option-strategy creation (spreads, straddles, condors), improving Sharpe ratio by 1.6× and cutting manual analysis time by 60%; Developed a Django backend with async APIs scanning 1,500+ NSE stocks in under 2 seconds, achieving 40% lower latency with event-driven alerts.
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An AI-powered news platform that delivers concise, real-time AI-industry updates to 2,500+ active users. It scrapes and aggregates 500+ sources daily, removes duplicates, and uses generative-AI summarization to cut reading time significantly while surfacing the most relevant stories. I built the backend responsible for scraping, deduplication, and the LLM summarization pipeline.
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An enterprise SaaS platform that lets FMCG companies plan, simulate, and optimize trade promotions. It gave 15+ enterprise clients the ability to model 200+ promotional scenarios monthly, run what-if analysis through a Promotion Calendar Optimizer and Simulator, and forecast the impact of promotions on revenue, volume, and profitability across $50M+ in annual promotional spend. My focus was architecting and building the Python/Django backend that powered the simulation and optimization engine.
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14
Streamlit
(1)
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Aniket Panchal
Delhi, India
AI & ML Solutions for Real-World Impact 🌐
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AI & ML Solutions for Real-World Impact 🌐
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Comment Feel - YouTube Comments Sentiment Analyzer Tool
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26
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🤖 MediBot AI – AI-Powered Medical Chatbot
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8
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Dish Decode- Flask Based API for Recipe Extraction from video
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3
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Streamlit
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Madhur Goel
Gurugram, India
Power BI & ML Expert | Dashboards & Predictions
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Power BI & ML Expert | Dashboards & Predictions
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Movie Recommendation System using Machine Learning
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2
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Power BI Dashboard for Binge and Bash
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4
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PUBG Game Winner Prediction with Machine Learning
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1
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Streamlit
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Rahul Rawal
Delhi, India
AI Automation Expert | Agents · Workflows · Chatbots
New to Contra
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AI Automation Expert | Agents · Workflows · Chatbots
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Presented ML-based anomaly detection and SLA prediction systems to senior stakeholders at DXC. Built using XGBoost and Random Forest — the SLA prediction model achieved 0.1% variance in forecast accuracy. Currently under patent review as a first-of-kind application of predictive ML in backup operations.
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Running a 100-day LinkedIn series telling the complete story of AI — from Alan Turing in 1950 to modern agents and LLMs. One person, one paper, or one breakthrough per day. Written for business leaders and professionals who want the real story without the jargon. 11 days in and counting.
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Natural Language Workflow Editing Title: "Editing AI Workflows Using Chat" Description: "Demo of RAPR AI's chat-based workflow editor — modifying a live workflow and adding nodes through natural language. No manual config, just conversation.
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Built RAPR AI from scratch as a personal project. It's a desktop application that lets you chain Claude, Gemini, and local models into automated workflows without any extra API costs. Includes a skill marketplace, Telegram integration, shared memory across models, and self-fixing agent loops. Open source and live at raprai.com (http://raprai.com).
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42
Streamlit
(1)
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Sankalp Shukla
Delhi, India
AI Engineer building custom RAG chatbots & automation
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AI Engineer building custom RAG chatbots & automation
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Designed and developed a custom AI analytics dashboard for Globe Spring to provide real-time business insights and performance tracking. The platform aggregates sales, customer, and operational data into a single interactive dashboard with AI-powered recommendations and automated reporting. This solution helps decision-makers monitor KPIs, identify trends, and make faster data-driven decisions.
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Designed and developed scalable AI-powered APIs that connected Globe Spring's applications, databases, and internal systems. The integration enabled intelligent search, personalized recommendations, chatbot functionality, and automated workflows through secure REST APIs and LangChain orchestration.
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Developed an AI-powered workflow automation system for Globe Spring using n8n, Zapier, and OpenAI to automate order processing, email notifications, and CRM updates.
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Personalized AI Chatbot for Globe Spring
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55
Streamlit
(1)
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Tanuj Rajput
Delhi, India
Developer building AI-powered and scalable digital solutions
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Developer building AI-powered and scalable digital solutions
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RAG-Based PDF Q&A AI System
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Multi-Agent AI Research System
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Voice-Based AI Learning Platform
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AI-Powered Gadget Recommendation Agent
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37
Streamlit
(2)
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Akash Singh
Delhi, India
Turning raw business data into dashboards CEOs love
New to Contra
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Turning raw business data into dashboards CEOs love
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7
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Sales Analytics Dashboard for E-commerce
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35
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