Freelancers using FastAPI in Gurugram

Freelancers using FastAPI in GurugramFreelancers using FastAPI in Gurugram

Projects People

AKASH VASHISHTHA

proDelhi, India

Versatile Fullstack Engineer | Web & Mobile Expert

$50k+: Earned

5x: Hired

5.0: Rating

99: Followers

Top

Versatile Fullstack Engineer | Web & Mobile Expert

Cover image for PriceRipper - Price Comparison Website

PriceRipper - Price Comparison Website

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Cover image for Realm - Social Media Platform for Music Producers and Artists

Realm - Social Media Platform for Music Producers and Artists

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Cover image for TestBest | LSAT® Prep & Tutoring

TestBest | LSAT® Prep & Tutoring

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Cover image for Légacie Phase 1

Légacie Phase 1

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Jagwinder Singh

Full Stack Developer

6: Followers

Full Stack Developer

Cover image for AI Resume Screening | Candidate

AI Resume Screening | Candidate Ranking System | AI HR Recruiter | ATS CV/Resume Optimization 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄 Recruiters often spend hours manually reviewing resumes, comparing candidate qualifications, and identifying the best fit for open positions. To address this challenge, I developed an AI-powered Resume Screening and Candidate Ranking Platform that automates candidate evaluation, improves hiring efficiency, and reduces recruitment time. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 Traditional recruitment processes involve reviewing hundreds of resumes for a single position. This manual approach is time-consuming, inconsistent, and often results in qualified candidates being overlooked. Recruiters needed a solution capable of quickly analyzing resumes, matching them against job requirements, and generating reliable candidate rankings. 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 I built an intelligent recruitment platform that leverages Artificial Intelligence and Natural Language Processing (NLP) to automate resume analysis and candidate assessment. 𝗞𝗲𝘆 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: - ATS-compatible resume parsing for PDF and DOCX files - Automated extraction of skills, experience, education, certifications, and contact information - AI candidate matching based on job descriptions - Intelligent candidate scoring and ranking system - Semantic skill matching using NLP techniques - Automated shortlist generation for recruiters - Recruiter dashboard for managing applications and rankings - Bulk resume processing for high-volume recruitment - Interview recommendation system based on candidate fit - Fair and consistent evaluation framework to reduce manual bias 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 The platform was designed with scalability and accuracy in mind. The workflow begins by parsing uploaded resumes and extracting structured candidate data. AI models then compare candidate profiles against job requirements, analyzing technical skills, years of experience, educational background, and industry relevance. A ranking engine generates compatibility scores and presents candidates in order of suitability. Recruiters can review detailed scoring insights, compare applicants, and make faster hiring decisions. 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 The solution significantly improved recruitment efficiency and candidate discovery. 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 > Reduced manual resume screening time by up to 80% > Accelerated candidate shortlisting process > Improved recruiter productivity and hiring speed > Increased consistency in candidate evaluation > Enabled processing of hundreds of resumes within minutes > Enhanced talent identification through AI-driven matching 𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻 This AI recruitment platform transforms traditional hiring workflows by automating resume screening, ranking candidates intelligently, and helping recruiters identify top talent faster, more accurately, and at scale.

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Cover image for Revolutionize Waste Management with IoT-Driven Smart Bins

Waste Management Platform A smart waste management system that uses IoT sensors to monitor bin levels in real time and make waste collection more efficient. It connects smart bins, collectors, and administrators on one platform so everyone stays updated. The system sends alerts when bins are full, helps plan better collection routes, and provides simple insights to improve overall waste handling and reduce manual effort.

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Cover image for AI E-Wallet App
Designed and developed

AI E-Wallet App Designed and developed a modern AI E-Wallet mobile app using a Glassmorphism design system to deliver a premium, transparent, and depth-rich financial experience. The app combines AI-driven intelligence with a clean, intuitive interface for seamless digital money management. Handled end-to-end product development as both designer and developer—from UX research, wireframing, and UI design to front-end implementation—ensuring consistency, usability, and smooth performance across all screens. Key Features: > AI-based spending insights & financial suggestions > Smart expense tracking & auto-categorization > Instant peer-to-peer payments > Digital wallet with multi-account management > Transaction history with visual analytics > Secure authentication (biometric + OTP) > Real-time notifications & alerts > Interactive dashboard with Glassmorphism UI cards The final product delivers a futuristic, user-friendly E-Wallet experience that blends aesthetic innovation with practical financial tools for modern users.

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Cover image for AI Smart Call Assistance

AI Smart Call Assistance App Modern users struggle with spam calls, missed context, and inefficient call handling. We designed an AI-powered Smart Call Assistance experience inspired by intelligent call management systems like Hiya AI Phone, focusing on real-time call screening, transcription, and AI summaries to improve communication efficiency. Problem Statement (Users face): -- High volume of spam and unknown calls -- Lack of context during calls -- Difficulty remembering key points from conversations -- Inefficient call handling in professional workflows Solution: We designed a smart AI call assistant that helps users: > Identify and filter spam calls in real time > Generate automatic call transcripts > Provide AI-powered call summaries after every conversation > Highlight key action points and follow-ups Key Features 1. AI Call Screening: Detects spam and unknown callers instantly 2. Live Transcription: Converts speech to text during calls 3. Smart Summaries: Auto-generated call insights & decisions 4. Call Insights Dashboard: Stores past call history with searchable notes 5. Privacy-Focused Design: On-device processing and secure data handling UX focused Approach on: - Minimal interaction during calls (hands-free experience) - Clear visual hierarchy for call insights - Fast access to summaries post-call - Reducing cognitive load through automation Outcome: The concept demonstrates how AI can transform traditional calling into a productivity-first communication tool, reducing spam interference and improving decision-making speed.Or rewrite it in a more premium startup pitch tone

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Trashu Vashisth

Building Production-Grade AI Agents & RAG Systems

13: Followers

Building Production-Grade AI Agents & RAG Systems

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 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 An autonomous AI system that

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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Cover image for Developed a highly responsive AI

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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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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128

proDelhi, India

AI Engineer - Python, React, Next.js, FastAPI, SQL, AWS, API

12: Followers

AI Engineer - Python, React, Next.js, FastAPI, SQL, AWS, API

Cover image for I develop and manage databases

I develop and manage databases using Elasticsearch, Neo4j, and Supabase to deliver fast search, powerful data relationships, and scalable backends. I design efficient data models, optimize performance, and ensure secure, reliable data access. I handle everything from setup and integration to deployment and ongoing optimization.

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Cover image for I design and develop intelligent

I design and develop intelligent chatbots and AI-powered applications that deliver seamless, human-like user experiences. I focus on building scalable, secure, and customized AI solutions tailored to real business needs. From idea to deployment, I handle the full development lifecycle end-to-end.

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Cover image for Ajay Bidyarthy is the Founder

Ajay Bidyarthy is the Founder and Chief Executive Officer of Blackcoffer and an AI Engineer with expertise in developing intelligent, scalable solutions using Machine Learning, Generative AI, and advanced chatbot systems. He designs and builds AI-powered applications—ranging from conversational agents to data-driven automation—by leveraging modern frameworks and cutting-edge technologies.

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Cover image for AI Chatbot Application Development

AI Chatbot Application Development

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Gurugram, India

Python and AI Engineer building RAG apps and LLM systems

New to Contra

Python and AI Engineer building RAG apps and LLM systems

Cover image for ResearchMind — AI Research Agent

ResearchMind — AI Research Agent | Full-stack agentic AI system that autonomously decides whether to search uploaded PDFs or the live web to answer questions. Built with LangChain tool-calling agents, FAISS vector search, Tavily real-time web search, FastAPI, and React. Every answer includes page citations and clickable URLs. Dockerized with Docker Compose, backend on Railway, frontend on Vercel. Live at researchmind-sigma.vercel.app (http://researchmind-sigma.vercel.app)

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Cover image for PDF Chat — RAG Document

PDF Chat — RAG Document Assistant | Built a full-stack RAG application that answers questions from uploaded PDFs with source citations. FastAPI + FAISS + sentence-transformers + Groq LLaMA 3. Live at pdf-chat-tawny.vercel.app (http://pdf-chat-tawny.vercel.app)

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Cover image for Freelance Web Developer — Sakshi

Freelance Web Developer — Sakshi Interiors | Designed and developed a fully responsive business website for a real client. SEO, Google Schema markup, custom domain.

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Cover image for AI Text Summarizer | CLI

AI Text Summarizer | CLI tool that summarizes any webpage, URL, or text file using Groq LLaMA 3 API. 7 pytest tests with 100% pass rate.

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AI Engineer building custom RAG chatbots & automation

New to Contra

AI Engineer building custom RAG chatbots & automation

Cover image for Designed and developed scalable AI-powered

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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Cover image for Designed and developed a custom

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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Cover image for Developed an AI-powered workflow automation

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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Cover image for Personalized AI Chatbot for Globe

Personalized AI Chatbot for Globe Spring

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Developer building AI-powered and scalable digital solutions

New to Contra

Developer building AI-powered and scalable digital solutions

Cover image for Voice-Based AI Learning Platform

Voice-Based AI Learning Platform

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Cover image for AI-Powered Gadget Recommendation Agent

AI-Powered Gadget Recommendation Agent

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Cover image for RAG-Based PDF Q&A AI System

RAG-Based PDF Q&A AI System

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Cover image for Multi-Agent AI Research System

Multi-Agent AI Research System

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