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Trashu Vashisth's avatar
Trashu Vashisth
Delhi, India
Building Production-Grade AI Agents & RAG Systems
13
Followers
Building Production-Grade AI Agents & RAG Systems
Cover image for The Problem: Sales teams waste 60%
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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Cover image for I built a professional, end-to-end
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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Cover image for Developed a production-grade Retrieval-Augmented Generation
Developed a production-grade Retrieval-Augmented Generation (RAG) system specifically designed to automate the analysis of complex Environmental, Social, and Governance (ESG) reports. This tool bridges the gap between static LLMs and the dynamic, data-heavy requirements of legal and sustainability compliance. [1 (https://www.youtube.com/watch?v=wkYPcMtwlN8)] Key Features & Capabilities Intelligent Document Processing: Automatically handles large, unstructured PDF/Word ESG reports, extracting critical clauses and metrics in seconds. Fact-Grounded Q&A: Uses a RAG architecture to ensure all answers are strictly based on the uploaded documents, virtually eliminating AI hallucinations. Compliance Mapping: Cross-references internal company data with global frameworks like CSRD, GRI, and TCFD to identify gaps or inconsistencies. Audit-Ready Traceability: Every insight generated includes direct citations and excerpts from the source files, providing a clear "paper trail" for legal teams. Automated Drafting: Capability to draft legal summaries, notices, or internal policy updates based on analyzed ESG risks Note: The 'Slaughter and May' branding in the sidebar is for UI/UX demonstration purposes only, showcasing how the tool integrates into a top-tier law firm's environment. #AI #RAG #LegalTech #ESG #Python #LangChain
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Cover image for Developed a full-stack RAG-based E- Commerce
Developed a full-stack RAG-based E- Commerce AI chatbot using React.js and Tailwind CSS that suggests the perfect laptop from a live catalog. Integrated ChromaDB with BGE Embedding models to provide highly accurate, context-aware product recommendations and instant technical support." Key Highlights: Smart Laptop Recommendations: Uses Semantic Search to match user needs (gaming, coding, etc.) with real-time specs. Advanced Tech Stack: Powered by LangChain for orchestration and BGE models for superior data retrieval. Modern UI/UX: Built a responsive, clean interface using React.js and Tailwind CSS. Zero Hallucination: Ensures all suggestions are strictly grounded in the available product inventory.
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Python(7)
Tannu Antil's avatar
Tannu Antil
Delhi, India
developer
New to Contra
developer
Cover image for Shoplifting Detection System (Computer Vision) The
Shoplifting Detection System (Computer Vision) The Shoplifting Detection System is an AI-powered surveillance solution designed to identify suspicious behavior in retail environments using computer vision and deep learning. The system analyzes real-time video from CCTV cameras to detect potential theft activities. It was trained on a dataset of 70,000+ images and uses a YOLO-based object detection model to recognize suspicious actions. When abnormal behavior is detected, the system triggers automated alerts and saves video clips for further review, improving retail security and loss prevention.
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Cover image for Signify - ISL Signify is a
Signify - ISL Signify is a web-based AI system designed to translate Indian Sign Language (ISL) gestures into text and audio in real time, helping bridge communication gaps for people with hearing and speech impairments. The project uses computer vision and machine learning to detect hand gestures through a camera and convert them into understandable language. The system was trained on a dataset of over 260,000 gesture images, enabling accurate recognition of different ISL signs. The model processes live video input, identifies hand gestures, and instantly generates corresponding text and speech output. The platform also includes learning features such as quizzes and a sign dictionary, making it useful for both communication and educational purposes. The project focuses on real-time image processing, gesture recognition, and accessibility-driven AI solutions.
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Cover image for Aureli Apixie (https://aureli-apixie.lovable.app) is a modern
Aureli Apixie (https://aureli-apixie.lovable.app) is a modern AI-powered web experience built using the Lovable platform, focused on sleek design, interactive user experience, and smart digital functionality. The site reflects a clean aesthetic with a futuristic and minimal interface, making it feel premium and visually engaging. It appears to combine: Elegant UI/UX styling Responsive web design AI-integrated workflow or automation features Smooth navigation and lightweight performance Startup-style branding with a modern creative feel The platform is likely built using Lovable AI, an AI website and app builder that allows creators to generate websites and apps through prompts and natural language. Lovable is known for helping users quickly build full-stack apps, landing pages, dashboards, and interactive tools without heavy coding knowledge.  Overall, Aureli Apixie gives the vibe of: an AI startup landing page, a digital product showcase, or a futuristic creative-tech brand website. It uses a polished, soft-modern visual identity that fits current 2026 web design trends such as: glassmorphism, minimal luxury layouts, neutral palettes, AI-inspired branding, and immersive scrolling experiences.
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Cover image for Bank Loan Case Study Explored loan
Bank Loan Case Study Explored loan application data to uncover patterns in customer defaults and support better lending decisions through data analysis.
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Python(5)
Urvi Walia's avatar
Urvi Walia
Delhi, India
Transforming data into insights that drive growth with AI
New to Contra
Transforming data into insights that drive growth with AI
Cover image for Sales Analysis Dashboard Project Built an
Sales Analysis Dashboard Project Built an interactive Sales Analysis dashboard to track revenue, sales trends, product performance, and customer purchasing behavior. Analyzed sales data to identify growth opportunities and support data-driven business decisions. Key Insights: Identified top-performing products and sales regions Analyzed monthly sales trends and customer buying patterns Tracked KPIs to improve sales performance and forecasting Skills Used: Data Analysis • KPI Reporting • Data Visualization • Dashboard Development • Business Intelligence Tools: Power BI • Excel • SQL • Python
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Cover image for Tesla Sales & Market Analysis
Tesla Sales & Market Analysis Project Conducted a data-driven analysis of Tesla’s sales performance, market trends, and customer demand patterns using real-world datasets. Cleaned and analyzed large datasets to identify revenue trends, regional performance, and key business insights that could support strategic decision-making. Key Business Insights & Decisions: Identified top-performing sales regions and revenue-driving markets Analyzed customer demand trends to understand purchasing behavior Detected seasonal sales patterns to support forecasting strategies Helped highlight opportunities for improving sales performance and market targeting Built interactive dashboards for easy tracking of KPIs and business metrics Skills Used: Data Cleaning & Preprocessing Exploratory Data Analysis (EDA) Sales Trend Analysis Data Visualization Dashboard Development Business Intelligence Reporting KPI Analysis Business Insight Generation Tools & Technologies: Excel • Python • SQL • Power BI • Pandas • Matplotlib
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Cover image for Customer Segmentation Case Study Analyzed customer
Customer Segmentation Case Study Analyzed customer purchasing behavior using data analysis techniques to identify high-value customer segments and buying patterns. Cleaned and processed raw customer data using Excel and Python, then created interactive dashboards in Power BI to visualize customer demographics, spending habits, and retention trends. Key Business Improvements & Decisions: Identified the most profitable customer groups for targeted marketing Helped optimize marketing campaigns based on customer behavior Suggested personalized offers for high-value customers to improve retention Reduced unnecessary marketing spend by focusing on the right audience segments Improved decision-making through clear KPI dashboards and customer insights Tools Used: Excel • Python • SQL • Power BI
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Cover image for Optimize IT Service Management with Interactive Dashboard In...
IT Service Management Dashboard Project Developed an interactive IT Service Management dashboard to monitor ticket volume, incident trends, SLA performance, and support team efficiency. Analyzed operational support data to identify service bottlenecks, improve response times, and support data-driven operational decisions. Key Business Insights & Decisions: Monitored ticket creation and closure trends to improve operational efficiency Identified high-priority and high-severity incidents requiring immediate attention Tracked SLA compliance rates to reduce delayed ticket resolutions Analyzed support categories and work types to optimize resource allocation Evaluated top-performing IT agents based on ticket resolution performance Improved service quality monitoring through customer satisfaction analysis Dashboard Highlights: Ticket Volume & Closure Tracking SLA Performance Monitoring Ticket Priority & Severity Analysis Support Category Breakdown IT Agent Performance Analysis Customer Satisfaction Metrics Interactive Filters for Dynamic Reporting Skills Used: Data Cleaning & Transformation Exploratory Data Analysis (EDA) KPI Monitoring & Reporting Operational Data Analysis Data Visualization Dashboard Development Business Intelligence Reporting Insight-Driven Decision Making Tools & Technologies: Power BI • Excel • SQL • Python • DAX • Data Visualization
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Python(3)
Manjeet Hooda's avatar
Manjeet Hooda
Delhi, India
Turning complex data into clear, actionable insights.
Turning complex data into clear, actionable insights.
Cover image for Sales Performance Analysis and Prediction
Sales Performance Analysis and Prediction
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Cover image for Customer Churn Analysis and Prediction
Customer Churn Analysis and Prediction
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Cover image for Shipment Price Prediction
Shipment Price Prediction
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Python(3)
Ajay Bidyarthy's avatar
Ajay Bidyarthy
proDelhi, India
AI Engineer - Python, React, Node, FastAPI, SQL, AWS, APIs
12
Followers
AI Engineer - Python, React, Node, FastAPI, SQL, AWS, APIs
Cover image for A multi-tenant architecture is a
A multi-tenant architecture is a software architecture where a single application instance serves multiple customers (tenants) while keeping each tenant's data and configuration isolated. Example Imagine a SaaS CRM platform: - Company A uses the CRM. - Company B uses the same CRM. - Company C uses the same CRM. All three companies share the same application, but: -> Their users only see their own data. -> Their settings, branding, and permissions can be different. -> The platform provider maintains only one codebase.
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Cover image for AI Chatbot Application Development
AI Chatbot Application Development
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Cover image for I offer AI, data science,
I offer AI, data science, analytics, software development, cloud computing, cybersecurity, and digital transformation services for startups and enterprises. My expertise includes machine learning, generative AI, big data analytics, business intelligence, web and mobile app development, IoT solutions, and enterprise automation. I also provide consulting, staffing, and industry-specific solutions for healthcare, finance, retail, insurance, energy, and supply chain businesses.
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Cover image for I’m a global consultant helping
I’m a global consultant helping entrepreneurs to gear-up their businesses. I am specialize in building IT products scratch to development—covering web and mobile applications, data science, analytics, machine learning, and AI solutions. Would you like to explore how we can help streamline your operations or launch your next big idea? Let’s discuss your requirements and explore tailored solutions for your business. Looking forward to hearing from you!
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Python(13)
Rishabh Gupta's avatar
Rishabh Gupta
proDelhi, India
Full-Stack Web & Mobile App Expert | UI/UX
New to Contra
Full-Stack Web & Mobile App Expert | UI/UX
Cover image for SEPMS: Smart Energy Portfolio Management System
SEPMS: Smart Energy Portfolio Management System
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Cover image for TradeYourAmp: Power Trading Automation Platform
TradeYourAmp: Power Trading Automation Platform
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Cover image for Transforming Lounge Chairs into Immersive Wellness Ecosystems
This project represents a fusion of high-end industrial design and user-centric digital interfaces. The goal was to transform the experience of a "Futuristic Lounge Chair" from a simple utility into an immersive wellness ecosystem. Below is the structured content and design approach used for this project. 1. Project Vision To create a seamless, cohesive digital experience that bridges the gap between luxury furniture and advanced medical-grade massage technology. The interface is designed to feel as "premium" as the chair itself, utilizing a "Glassmorphism" aesthetic that matches the futuristic pod-like hardware. 2. Design Approach: The "Glass-Wellness" Framework A. Visual Language (UI) Color Palette: Deep midnight blues and cyans provide a calming, "spa-at-night" atmosphere. High-contrast accent colors (lime green for active zones, amber for heat) provide clear functional feedback. Aesthetics: * Frosted Glass (Glassmorphism): Used for panels to create depth and a lightweight feel. 3D Anatomical Mapping: A high-fidelity human model provides immediate visual feedback on where the massage is currently focusing. Typography: Clean, sans-serif fonts (like Montserrat or Inter) for maximum legibility on tablet screens. B. User Experience (UX) & Interaction Zero-Gravity Navigation: Large, thumb-friendly hit targets were prioritized, recognizing that users are often reclined and less precise with their movements. Contextual Awareness: The interface changes based on the user’s state—moving from a "Discovery" mode (Product Benefits) to an "Active" mode (Live Session Management). 3. User Flow & Interaction Design Phase I: Discovery & Personalization Landing Interface: Displays the chair's technical specs (16H battery life, mental wellness benefits). Profile Selection: Users select or create a profile (e.g., "Anya - Stress Relief" or "Leo - Recovery"). This automatically adjusts the chair’s physical dimensions and pressure preferences. Phase II: Program Selection Dynamic Library: A scrollable list of specialized programs like "Lymphatic Drainage," "Deep Tissue," or "Yoga Stretch." Visual Preview: Selecting a program highlights the targeted body zones on the 3D model before the session starts. Phase III: Active Session Management Real-time Feedback (A): The 3D avatar pulses in the area being massaged (e.g., Anterior Right Thigh). Intensity Granularity (B): Side-panel sliders allow users to adjust "Roll Depth" and "Pinch Frequency" per zone without pausing the session. Status Indicators (D): Clear display of remaining time, current technique (Shiatsu), and a prominent "Emergency Stop/Pause" button (E). Phase IV: Advanced Environment Control Ambient Sync (F): A dedicated settings panel to control the "pod environment." Heat Mapping: Specific sliders for Upper Back and Leg heat. Chroma-Therapy: A color wheel to adjust the chair’s internal LED lighting. Audio Integration: Options for Nature Ambiance or custom Spotify playlists synced to the massage rhythm. 4. Technical Constraints & Solutions Hardware Limitation: To ensure the interface runs smoothly on standard chair tablets, heavy 3D renders are replaced with high-quality 2D sprite sheets or lightweight WebGL to maintain 60fps performance. Low-Light Optimization: The "Dark Mode" default prevents eye strain during evening use, which is when most users utilize massage chairs. Project Outcome The result is an interface that doesn't just "control" a chair, but manages an entire Wellness Environment, making the technology feel invisible and the relaxation feel absolute.
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Cover image for Sharajman Technologies Website
Sharajman Technologies Website
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Python(2)